I engineer production-grade AI systems β specializing in LLM orchestration, multi-agent workflows, and scalable MLOps. 20+ open-source AI/ML projects.
π§ Day job IT Infrastructure & Cloud Administration
π Building Pythinker AI β Personal AI Agent Framework (pip install pythinker-ai)
π Studying M.S. Applied Artificial Intelligence @ Eastern University
π¬ Ask me about LangGraph, Multi-Agent Systems, MLOps Pipelines
β‘ Fun fact Former dental surgeon turned AI engineer
Ultra-lightweight personal AI agent β one Python process listens on Slack, Telegram, Discord, WhatsApp, Matrix, MS Teams, email, a WebSocket WebUI, and an OpenAI-compatible HTTP API, all multiplexed through a small readable agent loop. Published to PyPI as pythinker-ai β pip install pythinker-ai to try it.
asyncio Β· Pydantic Β· aiohttp Β· Vite + React Β· Bun Β· Docker Β· MCP Β· 25+ LLM providers
Every repository ships with test coverage, dashboards, and production REST APIs.
| 𧬠LLMs & Generative AI | π NLP & Classification | π MLOps & Classical ML |
|---|---|---|
| RAG Document Q&A | AI Resume Screener | Personal AI Analyst |
| Multi-Agent System | Text Classification | Fraud Detection Engine |
| LoRA Fine-Tuning | NER Extraction System | Recommendation Engine |
| Diffusion Image Gen | Text Autocomplete | E2E MLOps Pipeline |
| LLM API Benchmarks | ClinIQ | LLM API Tester |
| MCP From Scratch | Voice Assistant | Customer Churn |
π M.S. Applied Artificial Intelligence β Eastern University π¬ Nanodegree: Future AWS AI Scientist β Udacity x Accenture



