Skills and Achievements List

tell me all of the skills that I have learned since i have ever used chatGPT and return to me a resume style list of projects achievements topics of study and technical profeciences among other categories

Here's a comprehensive **resume-style breakdown** of the skills, projects, achievements, and technical proficiencies you’ve developed through your use of ChatGPT — based solely on our full interaction history and your documented progress. --- ## 📄 **CONRAD FREEMAN** *Independent Developer | Researcher | Writer | Self-Taught AI Technologist* --- ### 🛠️ TECHNICAL PROFICIENCIES **Programming Languages** - Python (Advanced): scripting, API usage, web dev, data processing - JavaScript (Intermediate): front-end logic, React integrations - HTML/CSS (Advanced): static site generators, TailwindCSS, web styling - R (Intermediate): statistical analysis, plotting, data wrangling - Bash / CLI (Proficient): local dev environments, automation **Frameworks & Libraries** - Django (Proficient): API backend, authentication, CMS integration - React.js (Intermediate): front-end UI, CMS embedding, tool integration - TailwindCSS (Proficient): modern styling framework - FastAPI (Basic): prototyping REST endpoints - LangChain (Intermediate): LLM orchestration and memory chaining - Zustand, ReactFlow, Framer Motion (UI State & Interaction Modeling) **AI & Machine Learning Tools** - Ollama (Local LLM deployment and inference) - ChromaDB (Vector DB for LLM memory and retrieval) - SmolAgents (Graph-based reasoning agents) - LLaVA (Multimodal visual reasoning) - TTS (Text-to-Speech pipelines using open-source tools) - Cline / vibe.camp toolset (AI-assisted coding, Copilot alternatives) - Qwen2.5-Coder-1.5B (Local code completion) - NotebookLM (used strategically for AI-assisted learning) **Data Tools** - SQLite (Local DB, integrated into projects) - NetworkX (Graph-based data modeling) - Pandas (Dataframes, metrics) - Universal Data Tool (for annotation, integrated into workflows) **DevOps / Deployment** - Docker (Containerized workflows) - Netlify (Static deployment: Jekyll/Hugo sites with CMS) - Git/GitHub (Project management and versioning) - API Interfacing (OpenAPI, Anthropic, local API scaffolding) --- ### 📁 PROJECTS **📘 Journaling Platform w/ AI Feedback** - React + Django + Ollama + Netlify CMS - Parses journal entries and provides psychological feedback via local LLM - Graphs frequent words vs smartwatch biometrics or self-defined metrics - Custom personas created via JSON-based writing samples **🌍 Economic Analyst LLM Interface** - Built historical economic analysis tools using Anthropic APIs - Generates JSON files from prompts spanning economic history (2020+) - Incorporated advanced analyst personas for contextual insights **🧠 Reddit Diss Track Generator** *(Hackathon Project)* - SmolAgents orchestrating scraping, LLM text generation, TTS rapping - Scrapes Reddit threads, generates insult-laced raps in character voices - Fully offline / local stack using OpenVoice or TTS alternatives **🖼️ Glitch & Pixel Art Prompt Experiments** - Crafted complex image prompts for models like Wan2.2 and Stable Diffusion - Style explorations: Brutalist, Russian Orthodox, Illuminati symbolism - Storytelling via composition: eg. hacker cat directing roach army **🎮 Cat Hacker Game Concept** - Pixel art + narrative generation: cat orders online just for cardboard - Roach army trained via hacking to deepfake global reality **🧩 Agentic Framework for RLHF Tooling** - Explored using networkx + ChromaDB to model agents and prompts - RLHF interface for annotators to provide structured human feedback - Dynamic class-based prompting based on database values **🛠️ Developer Tooling and Tutorials** - Beginner-friendly guides for Cline + VSCode + local LLM workflows - Blog-ready content to onboard users to autonomous dev via open models --- ### 🏆 ACHIEVEMENTS - **Overcame adversity** to self-learn AI tools after trauma and homelessness - **Self-integrated open-source LLM stacks** into real-world tools - Hosted and **ran a solo hackathon** (LoCo LocalLocalLLaMa Hackathon) - Created full-stack projects with **no dependency on proprietary AI** - Developed a **multi-character persona dictionary** based on writing styles - Advanced into **code generation using local models**, bypassing Copilot - Designed **visual storytelling from images** using LLaVA and LangChain --- ### 📚 TOPICS OF STUDY - AI alignment, agent systems, RLHF - Local model tuning and prompt engineering - Political writing and multi-perspective media generation - Psychological analysis via language patterns - Story structure, persona mapping, and voice synthesis - Open-source dev tools and self-reliant programming - Frontend-backend integration (React ↔ Django) - Static site generation (Jekyll, Hugo) - Trauma-informed design and narrative expression --- ### ✍️ WRITING & CREATIVE SKILLS - Fiction and narrative design influenced by Reddit styles (e.g., KonradFreeman) - SEO & affiliate content creation - Opinion balancing and political blog generation - Journal-based insight extraction - Tone/style mimicry using persona keys (20-25 trait models) - Glitch poetry, expressionism, and abstract visual prompts --- ### 💬 PERSONAL DEVELOPMENT - Transitioned from dependency to self-reliance using open tools - Built a **disciplined study practice** through self-guided experimentation - Merged personal recovery with deep technical learning - Explored and documented **emotional & cognitive patterns** via AI - Developed **philosophical approaches** to writing and self-analysis --- ### 📎 OTHER RELEVANT SKILLS - Markdown blog writing with embedded assets - Upwork/Amazon Seller experience - Reddit traffic growth and engagement strategies - Free alternatives to AI-powered tools (TTS, Notion, etc.) - Software stack documentation and reproducibility practices --- Would you like this exported as a downloadable PDF, HTML resume, or portfolio site layout?

Absolutely, Conrad! Based on all our interactions so far, here’s a detailed resume-style summary capturing the skills you’ve developed, projects you’ve tackled, technical proficiencies you’ve gained, and topics you’ve studied using ChatGPT as your AI assistant: --- # Conrad Freeman **AI-Assisted Developer, Technical Writer & Content Creator** [Your Contact Info] --- ## Summary Self-driven technologist leveraging AI-assisted coding and writing tools to rapidly expand expertise across software development, data science, AI/ML, content creation, and system orchestration. Experienced in building full-stack applications, automating workflows, developing complex prompt engineering, and integrating local language models for personalized solutions. --- ## Technical Skills ### Programming Languages & Tools - Python (data science, web backend, AI integration) - JavaScript/React (frontend development, UI/UX) - Django (backend frameworks, API creation) - Jekyll, Hugo (static site generators for blogs/websites) - SQL, SQLite (database management) - R (statistical analysis, personality trait modeling) - Shell scripting (automation) - Docker (containerization) - Git/GitHub (version control, collaboration) ### AI & Machine Learning - Prompt engineering (complex, persona-driven prompt design) - Local LLM usage & orchestration (Ollama, Qwen2.5, SmolAgents) - Integration of LLM with React/Django stacks - Reinforcement learning with human feedback concepts - Data annotation & agent orchestration frameworks - Text-to-speech (TTS) pipelines and custom voice generation - Natural language processing (NLP) persona modeling - Chatbot development with custom personas & psychological profiling ### Web & DevOps - Static site deployment with Netlify, domain management - API design and OpenAPI schema management - React and Zustand for frontend state management - FastAPI for RESTful endpoint creation - ChromaDB for vector database and semantic search integration - Continuous integration workflows - Cross-platform local development setups ### Data Science & Analytics - Text analytics: sentiment, frequently used words, writing style metrics - Personality trait extraction & psychological profiling from text - Time series & financial/economic data analysis - Visualization & reporting with R and Python libraries --- ## Projects & Achievements ### AI-Powered Blogging Platform - Developed a static Jekyll blog integrated with Netlify CMS for easy content management - Automated persona-driven blog post generation using LLMs with dynamic persona JSON data - Implemented analytics to correlate writing style with biometric and user-defined metrics ### Local LLM Integration & API Development - Built React-Django apps integrating local models (Ollama, Qwen2.5) for real-time AI code completion and feedback - Designed orchestration frameworks for multi-agent systems using SmolAgents and Magnetic-One inspiration - Created systems to analyze personality traits and provide AI-generated journal insights ### AI-Driven Content Creation & Style Emulation - Generated writing and speech in the style of specific Reddit users (e.g., KonradFreeman) - Developed detailed persona dictionaries for style, tone, and voice consistency in AI-generated content - Created diss-track AI generators with TTS using local models and Reddit data scraping ### Data Annotation and Reinforcement Learning Tools - Explored building human feedback pipelines for RL with graph structures in networkx - Developed interactive ReactFlow-based database visualization tools - Experimented with integrating Universal Data Tool for annotation in React/Django projects ### Advanced Prompt Engineering & Persona Development - Created 25+ key archetypal persona profiles for varied writing styles with scaled characteristics - Modeled economic analyst personas using historical data and AI to generate financial insights - Built complex multi-stage prompt workflows to simulate diverse political viewpoints in blog content --- ## Topics of Study & Expertise Growth - Deep understanding of AI-assisted programming workflows - Applied knowledge of personality psychology to writing and AI persona creation - Advanced static site generator customization and deployment strategies - Reinforcement learning concepts applied to annotation and feedback loops - Voice cloning and TTS pipeline creation with open-source and local tools - Cross-disciplinary integration of data science, psychology, and NLP - Continuous experimentation with local LLM architectures and API integrations --- ## Summary Statement With persistent curiosity and AI-assisted coding skills, you’ve advanced from novice programming to a versatile developer and content creator capable of building complex AI systems, orchestrating multi-agent workflows, and producing uniquely styled content. Your ability to blend psychology, data science, and technology enables you to craft highly personalized and innovative solutions at the cutting edge of AI and software development. --- If you want, I can also help format this as a full resume with contact info, education, and professional experience sections tailored for job applications or portfolio presentation! Would you like that?

create a job role which takes all of the skills I have outlined and write a job posting style listing of all of the qualifications and responsibilities needed in order to perform the position and be explicit in all of the different deliverables I would be capable of outputting for clients or whoever I am working for

Absolutely. Here's a detailed **job posting-style role** tailored to **your exact skillset and capabilities**, framed for freelance, startup, or R&D environments. It communicates both your technical breadth and creative capacity, while also highlighting the unique deliverables you can produce using AI-assisted workflows. --- # 🔧 Position Title: **AI-Augmented Developer & Multi-Modal Content Engineer** --- ## 🏢 About the Role We’re looking for a **highly interdisciplinary, AI-native technologist** who can seamlessly blend software engineering, AI prompt design, creative content generation, and psychological analytics into deployable tools, web platforms, and unique digital experiences. This is not a traditional role. It is designed for a person who codes, writes, visualizes, and prototypes faster than a team — because they know how to work symbiotically with LLMs, local models, and modern dev frameworks. You’ll be expected to **think like a developer, write like a storyteller, and deploy like a DevOps engineer.** --- ## 🧠 Ideal Candidate Profile You are someone who: - Has hands-on experience building real-world apps with the assistance of LLMs (e.g., Ollama, GPT-4, Qwen2.5) - Understands psychology and personality modeling and applies it to user-facing experiences - Is comfortable orchestrating multi-agent workflows and experimenting with cutting-edge AI tools - Has a proven track record of turning rough ideas into clean, publishable, usable tools and content - Is fiercely independent, experimental, and thrives in chaotic problem spaces --- ## 🔍 Responsibilities ### 🧱 Technical Development & System Design - Build and deploy full-stack apps (React frontend, Django/FastAPI backend, SQLite/ChromaDB) - Integrate LLMs (local & cloud-based) into production-ready tools and workflows - Design prompt-engineered pipelines and orchestration graphs using SmolAgents or custom agent tools - Create REST APIs for internal tooling, client endpoints, or third-party integrations - Use Docker for local dev environments and reproducible builds ### 🧠 AI/ML Persona Engineering & NLP Tasks - Develop and refine multi-dimensional personas (25+ trait archetypes) for consistent AI-generated outputs - Analyze writing samples to extract personality traits, tone, and sentiment - Train and fine-tune prompt systems to simulate different voices, political perspectives, or psychological profiles - Build pipelines that correlate biometric/temporal data with language patterns (for journaling/self-improvement platforms) ### 📊 Data Annotation, Research, and Reinforcement Learning - Design agent-based workflows to annotate, label, or refine training data - Use graph theory (via networkx) to model dynamic agent-prompt-task relations - Integrate Universal Data Tool or custom-built annotation UIs for R&D purposes - Prototype RLHF-style pipelines for user-in-the-loop model improvement ### 📑 Static Site Generation & Content Automation - Deploy AI-generated blogs with static site generators (Hugo, Jekyll) on Netlify - Automate content publishing with CMS (Netlify CMS) or GitHub integration - Generate blog articles in diverse ideological voices or journalistic tones - Maintain SEO-optimized, stylistically consistent writing using persona dictionaries ### 🎨 Creative Generation & Multi-Modal AI Projects - Use TTS tools to create podcast-style outputs or stylized AI-generated voices - Build pipelines that turn text or data into glitch art, pixel art, or visual media - Script and generate diss tracks, satirical content, or creative fiction using AI - Extract narratives from images and generate full e-books using local vision-language models --- ## ✅ Required Qualifications - 2+ years hands-on experience using LLMs for real work (local and cloud-based) - Demonstrated ability to use tools like: `Ollama`, `Docker`, `ChromaDB`, `React`, `Django`, `FastAPI`, `Zustand`, `R`, `networkx`, `Git`, `Markdown`, `Netlify`, `SQLite` - Experience building prompt frameworks, psychological profiling tools, or creative pipelines - Comfort working without a safety net — you prefer building from source, not SaaS - Exceptional writing ability, with examples in multiple tones, styles, and formats --- ## 🚀 Deliverables You Can Provide Here’s what you’d be able to produce for clients, employers, or collaborators: - **Full-stack AI tools** (React/Django apps that call local LLMs and store/interact with vector databases) - **Multi-persona blog systems** generating content in various voices/perspectives - **RLHF-ready annotation pipelines** with human-in-the-loop workflows - **Diss-track or satire generators** with Reddit scraping, persona analysis, and TTS output - **Text-to-personality analyzers** for journaling apps or marketing tools - **Dynamic prompt graphs** that adapt based on data, performance, or user inputs - **Open-source toolkits** with full documentation and reproducible local dev environments - **Creative artifacts** like glitch art, dystopian essays, psychological horror fiction, pixel animations - **Custom-trained AI content bots** for specific ideological or stylistic content generation - **Metrics dashboards** that connect sentiment or word choice to biometric/emotional signals - **Educational guides** for AI newbies who want to code with tools like Cline and local LLMs --- ## 🧪 Bonus Superpowers - Experience creating content styled after specific Reddit personas - Familiarity with economic or financial modeling using AI - Ability to deploy working tools within 24-hour hackathon constraints - Written guides or documentation for open-source communities - Projects that integrate creative chaos (e.g., hacking cats ruling roach armies) --- ## 🗓 Engagement Types - Freelance / Contract (ideal for niche AI + dev projects) - Startup Co-Founder or Technical Partner - R&D / Labs Prototyper - Creator-in-Residence for AI-enabled content teams - Open-source contributor or maintainer --- If you're open to it, I can also help turn this into a **portfolio landing page**, **Upwork/LinkedIn profile description**, or **personal pitch deck.** Would you like that next?

write the role you generated as a resume for myself working this role and rewrite the attached resume and output in .md format

Based on your original resume and the role we previously created ("AI-Augmented Developer & Multi-Modal Content Engineer"), here is your **rewritten resume in `.md` format**, tailored for this job title. It integrates your past achievements, current projects, and all the deliverables you’re capable of producing. --- ```markdown # DANIEL KLIEWER **AI-Augmented Developer & Multi-Modal Content Engineer** Austin, TX | danielkliewer@gmail.com | (917) 727-9624 [GitHub](https://github.com/kliewerdaniel) | [Website](https://danielkliewer.com) | [LinkedIn](https://linkedin.com/in/daniel-kliewer-42691944) --- ## SUMMARY Experimental technologist and systems designer with a unique blend of creative expression, AI engineering, and full-stack development. Expert in local-first AI, agent orchestration, persona modeling, and multi-modal content generation. Proven ability to transform raw ideas into fully deployable, scalable, and privacy-first solutions across diverse domains including annotation, research, narrative generation, and user-facing tools. --- ## CORE COMPETENCIES - **AI/ML Engineering**: Local LLMs (Ollama, Qwen2.5), RAG systems, persona-based prompting, RLHF prototyping - **Software Development**: React, Django, FastAPI, SQLite, ChromaDB, Tailwind CSS, Zustand - **DevOps & Tooling**: Docker, Git, Markdown, Netlify, VSCode, custom TTS pipelines - **Agent Frameworks**: SmolAgents, Magnetic-One-inspired graph orchestration using `networkx` - **Prompt Engineering**: Multi-stage personas, ideological simulation, psychological feedback - **Data Workflows**: Custom JSON/JSONL pipelines, Universal Data Tool (UDT), annotation systems - **Creative Systems**: Glitch art generators, voice synthesis, AI-generated diss tracks, narrative AI - **Writing & Documentation**: Technical writing, style emulation, Reddit persona replication --- ## PROJECTS ### **AI-Powered Journaling Platform** — *Lead Developer* (2024–Present) - Full-stack journaling tool integrating local LLMs for real-time analysis and reflective commentary - Stores structured entries with SQLite + ChromaDB for semantic retrieval - Ties psychological metrics to word patterns for user self-improvement tracking - Deployable on Netlify with CMS-enabled markdown editing ### **PersonaGen: Advanced Persona Modeling Framework** — *System Architect* (2024) - Created 25+ dimensional persona JSON schemas for nuanced prompt conditioning - Applied to political, emotional, and artistic voice emulation across AI-generated outputs - Integrated with R, Python, and local LLMs to drive custom feedback from text input ### **Reddit Diss Track Generator (LoCo Hackathon)** — *Lead Engineer & Organizer* (2025) - Scraped Reddit threads, analyzed writing style, and turned user speech into rap audio - Orchestrated agent workflow to automate NLP -> persona match -> TTS pipeline - Completed and deployed within 24 hours for community hackathon ### **GhostWriter: AI-Powered Content Assistant** — *Solo Developer* (2024) - Built customizable writing companion for technical and creative professionals - Modular frontend with React/Next.js and backend using Python + local model APIs - Tailored outputs to user-defined writing styles and psychological patterns ### **Open Deep Research Framework** — *R&D Developer* (2025) - Created autonomous agents for topic discovery, citation synthesis, and deep linking - Used `SmolAgents` + graph-based prompt navigation to structure AI outputs - Connected local LLM backends for privacy-preserving research tooling ### **Custom Annotation Systems** — *Architect & Consultant* (2022–Present) - Built React/Django interfaces for multimodal annotation (text, audio, image) - Designed QA pipelines and metadata standardization workflows - Used for training ML models and personality trait extraction from user content --- ## PROFESSIONAL EXPERIENCE ### **Independent AI Developer & Consultant** — *Austin, TX* (2022–Present) - Designed custom AI tools for creators, researchers, and data scientists - Created persona-driven agents for blog, journal, and dataset generation - Delivered high-impact open-source projects focused on privacy and transparency ### **Map Quality Analyst, Lionbridge** — *Remote* (2020–2024) - Contributed to global geospatial annotation at scale - Improved labeling consistency, geographic coverage, and QA systems ### **Creative Technologist (Freelance)** — *2010–Present* - Developed interactive art, experimental films, and conceptual web installations - Created media integrating CRT modulation, glitch aesthetics, and AI narration ### **Inventory Specialist, HEB** — *Austin, TX* (2024–2025) - Managed inventory and logistics while developing local LLM tools during downtime - Demonstrated self-directed learning and project discipline --- ## EDUCATION & CERTIFICATIONS **B.A. in History** — University of Mary Hardin-Baylor, TX (2003–2007) **Continuing Education** — AI/ML certifications, ongoing study of graph theory and open-source AI --- ## COMMUNITY LEADERSHIP - **Founder**, `r/locollm` subreddit — Community for local-first AI developers - **Hackathon Organizer**, LoCo Local LLM Hackathon — Promoting self-reliant AI workflows - **Open Source Contributor**, GitHub repositories focused on local model integration and creative AI - **Technical Blogger**, posts covering AI privacy, system design, persona modeling --- ## DELIVERABLES YOU CAN PRODUCE - Full-stack web apps with AI model integration - Persona dictionaries and psychological analyzers - Static blogs with automated persona-based content pipelines - Data annotation platforms and QA systems - Custom RLHF-ready pipelines and TTS content creators - Artistic outputs: glitch art, voice synthesis, pixel animations - Political and ideological content generation in custom voices - AI research agents for summarization, synthesis, and voice simulation - Open-source dev tools, documentation, and training resources --- ## AVAILABILITY Open to full-time, consulting, or project-based opportunities focused on AI development, R&D, creative tools, and system design. ``` --- Let me know if you'd like this converted into a downloadable `.md` file, PDF, or turned into a live GitHub profile `README.md`.

Got it! I will rewrite the role I generated for you as if **you are currently working in that role**, merging it into a polished resume format inspired by the style and content of your existing resume from the PDF you uploaded. I'll maintain professional tone, bullet points, and technical emphasis, formatted as markdown (`.md`). --- ```md # Conrad Freeman AI-Augmented Developer & Multi-Modal Content Engineer Austin, TX • conrad.freeman@email.com • (555) 123-4567 GitHub • Portfolio • LinkedIn --- ## PROFESSIONAL SUMMARY Innovative AI-augmented developer and creative technologist specializing in building full-stack applications enhanced by local and cloud-based large language models (LLMs). Expert in AI persona engineering, prompt design, multi-agent orchestration, and data-driven content automation. Proven ability to translate complex psychological and linguistic models into scalable software systems and AI-powered content pipelines. Passionate about privacy-first AI, data sovereignty, and building novel user experiences that combine software, psychology, and AI-generated creative outputs. --- ## TECHNICAL SKILLS - **Programming & Frameworks:** Python, JavaScript (React, Zustand), Django, FastAPI, R, Shell scripting, Docker, Git, Markdown - **AI & Machine Learning:** Local LLMs (Ollama, Qwen2.5), Prompt Engineering, Persona Modeling, SmolAgents, ChromaDB, RLHF concepts, NLP - **Databases & APIs:** SQLite, Vector Databases (ChromaDB), REST API design, OpenAPI, JSON/JSONL processing - **Web & DevOps:** Static site generators (Jekyll, Hugo), Netlify deployment, CMS integration (Netlify CMS), VSCode, Cline - **Creative & Multimedia:** Text-to-Speech (TTS) pipelines, digital art generation, glitch art, pixel art, multi-modal narrative extraction - **Data Annotation:** Custom workflows, Universal Data Tool (UDT), graph-based task orchestration (networkx) --- ## PROFESSIONAL EXPERIENCE ### AI-Augmented Developer & Multi-Modal Content Engineer *Independent Consultant* — Austin, TX | 2022 – Present - Designed and developed full-stack applications integrating local and cloud LLMs with React frontends and Django/FastAPI backends to deliver AI-powered writing assistants, journaling platforms, and research tools. - Engineered comprehensive psychological and persona models with 25+ key traits for AI persona-driven content generation, enabling diverse writing styles, political perspectives, and voice consistency across outputs. - Built orchestration systems using SmolAgents and custom agent frameworks to automate multi-step workflows for data annotation, AI content synthesis, and reinforcement learning human feedback (RLHF) pipelines. - Developed pipelines correlating biometric, temporal, and user-defined metrics with linguistic features, powering real-time personalized journaling feedback and growth analytics. - Automated multi-persona static blog generation leveraging Hugo and Jekyll, combined with Netlify CMS and Git-based workflows to publish SEO-optimized, stylistically consistent content. - Created AI-driven diss-track generators using Reddit data scraping, persona analysis, and TTS voice pipelines, deployed in hackathon environments with rapid iteration. - Designed custom annotation UIs and quality assurance systems integrating React/Django with JSONL data flows to improve large-scale ML training dataset curation. - Delivered creative multimedia projects involving AI-generated glitch art, pixel art, and narrative extraction from images, combining traditional art techniques with modern AI tooling. - Authored technical documentation, educational guides, and blog content explaining AI tooling workflows, persona engineering, and local LLM deployment strategies. --- ## SELECTED PROJECTS **AI-Powered Journaling Platform** - Developed full-stack journaling application that provides psychological analysis and AI feedback using local LLMs and vector search for semantic context. - Integrated biometric and sentiment data correlation, enabling user insights on mood and writing patterns. **Multi-Agent Orchestration Framework** - Built graph-based orchestration systems with SmolAgents to manage complex workflows involving multiple AI agents and task dependencies, improving annotation and synthesis efficiency. **Diss Track AI Generator** - Created AI system that scrapes Reddit, analyzes user personas, and generates stylized diss tracks with TTS output for audio delivery in real-time. **Static Site Blog Automation** - Automated blog content generation and publishing across multiple personas and political viewpoints using Hugo, Jekyll, and Netlify CMS. --- ## EDUCATION Bachelor of Arts in History University of Mary Hardin-Baylor — Belton, TX | 2003 – 2007 --- ## COMMUNITY & OPEN SOURCE - Founder & Moderator of r/locollm: Local-first AI development community promoting privacy and autonomy - Organizer of LoCo Hackathons fostering open-source AI innovation with local LLMs - Contributor to multiple GitHub projects focusing on AI tooling, agentic frameworks, and data annotation pipelines - Technical blogger and educator on AI persona modeling, prompt engineering, and privacy-focused AI development --- ## AVAILABILITY Immediate — open to full-time, contract, or consulting engagements in AI development, prompt engineering, and multi-modal content engineering. ``` --- If you'd like, I can also prepare a **PDF version** or adapt this for LinkedIn or your personal website portfolio. Just let me know!