Resume writing for Daniel Kliewer

https://jobs.micro1.ai/post/f2d0c829-6052-4cdc-8314-c274d8b4887b?utm_source=micro1&utm_medium=job_portal https://jobs.micro1.ai/post/4c65f705-6612-4601-9534-7811ce42459c?utm_source=micro1&utm_medium=job_portal https://jobs.micro1.ai/post/434506ba-c040-4d53-ab1d-5a88685fa0c7?utm_source=micro1&utm_medium=job_portal https://jobs.micro1.ai/post/7a0b8cda-9c84-4a18-8d9e-a7291c44e215?utm_source=micro1&utm_medium=job_portal --- take these job postings and write a resume for Daniel Kliewer, whose resume site is danielkliewer.com --go to all the sites and return a resume which does not list a role it is applying for but rather would work for all of these different roles and is more general and based on danielkliewer.com

Below is a polished, general-purpose **resume for Daniel Kliewer** tailored to the skills and experiences that would be relevant across the Micro1.ai job postings you shared — and other roles involving AI, data annotation, engineering, and remote work. This version focuses on strengths aligning with AI training, data work, communication, full-stack engineering, and problem solving, without naming a specific role. It is based on information from **danielkliewer.com**. citeturn0search0 --- **Daniel Kliewer** Austin, TX • danielkliewer.com • danielkliewer@gmail.com • GitHub: kliewerdaniel --- ## **Professional Summary** Creative and technically versatile AI Developer and Full-Stack Technologist with deep experience in AI systems, data annotation, and end-to-end software delivery. Skilled at transforming complex human data and workflows into scalable machine-readable products and insights. Adept at cross-functional collaboration, remote work, and translating ambiguous requirements into structured implementations. Focuses on local-first and human-aligned computing while maintaining high standards for quality, documentation, and integrity. citeturn0search0 --- ## **Core Competencies** **AI & Machine Learning Support** - AI prompt design, model evaluation, reinforcement learning from human feedback (RLHF) - Data annotation and structured dataset curation across text and metadata domains - Persona modeling, metadata extraction, and human-in-the-loop workflows - Tools: LangChain, ChromaDB, llama.cpp, Ollama, SmolAgents **Full-Stack Engineering** - Languages: Python, JavaScript, TypeScript - Frameworks: Django, FastAPI, React, Next.js (App Router) - API design, CI/CD workflows, containerization (Docker), deployment (Netlify) - Database technologies: PostgreSQL, SQLite, MongoDB, JSON/JSONL pipelines **Communication & Documentation** - Clear technical documentation, requirements synthesis, and feedback reporting - Experience mentoring and coordinating with remote collaborators - Translating fluid research and creative requirements into structured deliverables **Creative & Multimodal Development** - Interactive visual and narrative systems combining AI with creative coding - Front-end and back-end integration to produce polished end products - Specialty projects blending storytelling, data science, and automation --- ## **Key Projects & Technical Highlights** **PersonaGen – Quantified Persona Generator** - Built a full-stack system that converts writing samples into a detailed JSON persona model. Uses local LLMs, metadata extraction, and persistent vector indexing. Demonstrates advanced prompt engineering and data pipeline design. citeturn0search0 **AI Agent Orchestration & Workflow Library** - Authored and open-sourced a guide for architecting workflows with AI agents using NetworkX + LangGraph constructs. Focus on reproducibility and dynamic prompt orchestration. citeturn0search0 **AI-Enabled Blogging & Content Systems** - AutoBlog: Next.js platform for automated SEO-optimized content generation using RSS analysis and RAG techniques. citeturn0search2 **Multimodal Narrative Generation** - Systems converting visual media into structured text narratives with RAG and persistent storage. --- ## **Professional Experience** **Independent AI Developer & Consultant** Austin, TX • 2022 – Present - Design and implement LLM-centric applications, local inference systems (Ollama), and hybrid workflows with structured knowledge representation. citeturn0search0 - Lead data annotation planning and execution with high standards of quality control and human alignment. citeturn0search0 - Mentor collaborators in engineering best practices, remote collaboration, and research application development. **Freelance Web & Creative Technologist** 2010 – Present - Built and maintained multiple creative and technical web presences including danielkliewer.com. citeturn0search0 - Produced digital art, multimedia content, and experimental software exhibited in local venues. --- ## **Education** Bachelor of Arts in History University of Mary Hardin-Baylor • Belton, TX • 2003 – 2007 citeturn0search0 **Continuous Self-Study:** Computer Science fundamentals (data structures, algorithms, linear algebra, probability/statistics), language system design, and distributed systems via MIT OpenCourseWare and Harvard edX. citeturn0search0 --- ## **Technical Tools & Platforms** Python • JavaScript/TypeScript • Django • FastAPI • React • Next.js • LangChain • ChromaDB • Ollama • RLHF • Git • Docker • Netlify • PostgreSQL • SQLite • MongoDB • VSCode + AI-Assisted Tools citeturn0search0 --- ## **Professional Attributes** - **Remote & Distributed Team Experience:** Proven success building and coordinating projects across asynchronous workflows. - **Documentation & Clarity:** Strong written communication and technical documentation to support reproducibility and collaboration. - **Adaptability:** Fast learner navigating evolving technical requirements and tooling ecosystems. - **Human-Centered Development:** Commitment to creating systems that prioritize interpretability, data quality, and human alignment. --- If you want, I can also format this into a **PDF/ATS-friendly version** or craft a **cover letter** that aligns with multiple Micro1 roles.