Senior AI Engineer with deep expertise in designing and delivering production-grade AI systems — from machine learning pipelines and retrieval-augmented generation to autonomous agent workflows and full-stack platforms.
I bridge the gap between cutting-edge AI research and reliable, business-ready software: architecting systems that are scalable by design, secure by default, and maintainable long after launch. My focus is simple — turn complex data and AI capabilities into products that deliver measurable business value.
| Domain | Expertise & Solutions | Technology Stack | |
|---|---|---|---|
| 📊 | ML & Data Engineering | Data pipelines, feature engineering, model development, training, evaluation, and optimization | Python PyTorch TensorFlow scikit-learn Pandas NumPy |
| 🧠 | LLM Engineering | LLM applications, AI backend services, prompt engineering, model integration, and deployment | FastAPI Node.js OpenAI API Hugging Face |
| 🔎 | RAG & Knowledge Systems | Retrieval pipelines, embeddings, vector search, enterprise knowledge assistants, and grounded generation | LangChain LlamaIndex pgvector PostgreSQL |
| 🤖 | AI Agents & Automation | Agentic workflows, tool calling, autonomous task execution, business process automation | Agent Frameworks Function Calling n8n Make |
| ☁️ | Cloud & Infrastructure | Scalable deployment, containerization, distributed systems, API infrastructure, and CI/CD | Docker Kubernetes AWS GCP Azure |
| ⚡ | Full-Stack & Enterprise Platforms | AI-powered SaaS, web applications, dashboards, CRM, ERP, e-commerce integrations | React Next.js TypeScript Shopify HubSpot |
| Project | Description | Stack |
|---|---|---|
| health_data_RAG | Health-data RAG platform — embeddings, vector retrieval, citation-grounded answers | TypeScript Next.js Supabase pgvector |
| notionLM | Talk to your Notion documents using RAG | TypeScript RAG |
| fhir-rag-pipeline | RAG pipeline built around FHIR-structured healthcare data | RAG Healthcare |
| Project | Description | Stack |
|---|---|---|
| agency-agents ⭐ | A complete AI agency of specialized agents — each with its own persona, process, and deliverables | Shell Agents |
| agent-skills | Super-powered AI agent skills for Claude Code and Codex | Python |
| duh_LLM | Multi-model consensus engine — one LLM opinion isn't enough | Python |
| autoresearch-local-LLM | Local-LLM automation for research workflows | Python |
| automation-extractor | Python automation for structured data extraction | Python |
| Project | Description | Stack |
|---|---|---|
| LLM-Finetuning ⭐ | LLM fine-tuning experiments with PEFT | Jupyter PEFT LoRA |
| city2graph | Geospatial relations → graphs for GNNs and spatial network analysis | Python GNN |
| Project | Description | Stack |
|---|---|---|
| resume-matcher | AI-assisted resume ↔ job matching | TypeScript |
| hackathon-frontend | Hackathon product frontend | TypeScript |
| filtersjs | Date-range filtering library | TypeScript |
- 🎯 Production-first mindset — I ship systems that survive real users, real data, and real scale, not just demos
- 🔄 End-to-end ownership — from data pipelines and model integration to APIs, frontend, and deployment
- 🤝 Honest scoping — clear estimates, transparent trade-offs, no over-promising
- 📈 Business-value focus — every architecture decision maps to measurable outcomes
- 📦 Clean handoffs — documented, maintainable code your team can extend without me
Available for contract or part / full-time roles in AI, Full-Stack, and AI automation systems. Let's discuss your project and how I can deliver scalable, compliant, and intelligent solutions.
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💼 Open to: AI system architecture · LLM & RAG development · agent automation · full-stack AI products
