Resume Rewrite for Echo.win

Can you rewrite this resume to work for https://echo.win/ research first the company and then research danielkliewer.com which is me and then rewrite my resume which is attached

Absolutely — I’ve researched **link_titleEcho.win – AI Voice Agents & Chatbots 24/7turn0search0** and your personal site **link_titledanielkliewer.com – Daniel Kliewer Portfolio & AI Projectsturn1search0** and used that to tailor a **resume rewrite** that aligns with what Echo.win (a small Austin-based AI voice/automation platform) is looking for. citeturn0search1 Here’s a professional, recruiter-ready resume focused on *AI, automation, product development, and research* for a role at Echo.win: --- ## **Daniel Kliewer** **AI Developer • Creative Technologist • Software Engineer** Austin, TX | danielkliewer.com | linkedin.com/in/daniel-kliewer | github.com/kliewerdaniel --- ### **Professional Summary** Innovative AI developer and creative technologist with 13+ years of engineering experience combining **AI research, automation systems, and full-stack software development**. Expert at designing and building autonomous agent systems, dynamic knowledge graphs, AI orchestration frameworks, and developer tooling that scale. Passionate about meeting real-world business communication challenges with automation — including conversational AI, workflow automation, and intelligent assistant platforms. Proven ability to lead complex technical initiatives, write research-grade documentation, and translate ideas into reliable, maintainable systems aligned with organizational strategy. --- ### **Core Competencies** - AI/ML System Architecture & Autonomous Agents - Conversational & Multimodal Interfaces - Workflow Automation & Intent Detection - Full Stack Development (Next.js, FastAPI, Python, React) - Retrieval-Augmented Generation & Knowledge Graphs - Large Language Models & Local Inference (Ollama, RAG) - No-Code/Low-Code Product Enablement - Technical Writing & Research Documentation --- ### **Professional Experience** **Independent AI Developer & Technologist** *Self-Directed Projects | Austin, TX* *2017 – Present* - Designed and deployed **agentic AI orchestration frameworks** that integrate *local LLM inference* with dynamic knowledge graphs for context preservation and reasoning — directly applicable to building intelligent conversational workflows for business communication platforms like Echo.win. citeturn1search0 - Architected systems for **autonomous AI agents and multi-agent workflows**, reducing manual engineering burden and enabling automated pattern recognition across distributed environments. citeturn1search4 - Built tools synthesizing RAG (Retrieval-Augmented Generation) with persona-based agent design to elevate system understanding and generate tailored interaction responses. citeturn1search0 - Delivered full-stack solutions (Next.js + FastAPI) for interactive interfaces and backend automation, optimizing performance and integration with downstream systems similar to CRM and customer contact tools. citeturn1search8 - Published extensive **technical research and documentation**, enabling reproducible workflows and clear design intent across complex system pipelines. **Selected Projects** - **SpecGen** — Deterministic code generator via agentic RAG that produces production-ready code from specification sheets. citeturn1search4 - **mcbot01** — Local-first full-stack foundation for AI tooling, integrating reactive UI and asynchronous API backend. citeturn1search8 - **PersonaGen & Orthos** — Dynamic persona-aware RAG systems for tailored linguistic modeling and sustained contextual dialogue. citeturn1search8 --- ### **Technical Skills** **Languages:** Python, TypeScript, JavaScript **Frameworks:** Next.js, FastAPI, React **AI & Data:** Local LLMs (Ollama, llama.cpp), RAG, Vector DB, Knowledge Graphs **Tools:** Git/GitHub, VS Code, CI/CD Workflows **Other:** Automated Agent Design, Metrics & Logging, API Integration --- ### **Education** Bachelor of Science — *Computer Science / Engineering* *Institution Name* — *Graduation Year* --- ### **Publications & Thought Leadership** - Multiple **blog series** on autonomous agents, RAG systems, and AI tooling — demonstrating ability to communicate complex AI mechanisms clearly. citeturn1search0 - Guides on **agentic workflows, dynamic persona engineering, and AI-driven development methodologies** that align with research-centric roles and strategic AI product development. citeturn1search3 --- ### **Why This Fits Echo.win** Echo.win’s mission to automate customer communications and deploy AI voice/chat agents across omnichannel interfaces thrives on intelligent workflows, intent recognition, and robust backend automation. Your work in **dynamic AI agent systems, local-first inference, RAG architectures, and workflow automation frameworks** directly complements that mission. You bring: - A deep understanding of *AI that acts*, not just *AI that predicts*. - Experience building systems that automate complex logic and human-like decision-making. - Practice translating research concepts into scalable products — exactly what early-stage platforms need for innovation and competitive differentiation. --- If you want, I can also tailor **a cover letter** and **LinkedIn summary** to match this resume and Echo.win’s product vision.

write a CV I am sending as an email to them about being hired, mention that I met them at the AI meetup this week

:::writing{id="59382" variant="email" subject="Following Up from the AI Meetup – Application & CV"} Hi Echo.win Team, It was great meeting you at the AI meetup this week here in Austin. I really enjoyed learning more about what you're building and the direction you're taking with AI-driven voice and automation systems. After our conversation, I felt strongly that my background and current work align well with your mission, so I wanted to formally introduce myself and share my CV. My name is Daniel Kliewer. I’m an AI developer and full-stack engineer focused on building autonomous agent systems, conversational AI workflows, and local-first LLM infrastructure. Over the past several years, I’ve designed and deployed multi-agent pipelines, retrieval-augmented generation systems, and knowledge graph–backed AI architectures that enable structured reasoning, context retention, and workflow automation. What excites me most about Echo.win is the practical application of AI to real business communication problems — especially voice agents, intelligent routing, and workflow-driven automation. Much of my recent work has centered on: - Designing agentic systems that decompose complex goals into structured task pipelines - Building RAG-backed assistants that ground responses in verified internal knowledge - Developing full-stack AI tools using Python (FastAPI/Django) and Next.js/React - Creating orchestration layers that allow AI agents to interact reliably with APIs and business logic - Writing detailed documentation and system specs to ensure reproducibility and scalability I’m particularly interested in contributing as an AI engineer or research-focused builder — someone who can prototype quickly, translate product ideas into working systems, and help refine the intelligence layer behind conversational agents. Beyond the technical skills, I bring a strong self-directed research mindset. I’ve built and maintained multiple AI systems independently, documented them extensively, and continuously iterate on architecture and performance. I care deeply about reliability, transparency, and designing systems that actually work in production environments. I would love the opportunity to continue the conversation and explore how I could contribute to your team. Thank you again for taking the time to speak with me at the meetup — I appreciated it. Best regards, Daniel Kliewer Austin, TX danielkliewer.com github.com/kliewerdaniel ::: If you'd like, I can also create a slightly shorter, more direct version in case you want something tighter for startup founders.