Technical Expertise

Languages, AI and LLM frameworks, cloud, data and automation tooling

The working toolset developed across 27 shipped AI and automation systems, grouped by discipline.

Programming languages: Python, TypeScript, JavaScript, SQL and R. LLM and agent frameworks: LangChain, LangGraph, LangServe, LangSmith, CrewAI, the Model Context Protocol, and retrieval-augmented generation architecture and evaluation. Model providers and platforms: the Claude API from Anthropic, AWS Bedrock, OpenAI, Groq and HuggingFace.

Voice AI: VAPI, Retell, ElevenLabs, Deepgram and whisper.cpp. Automation platforms: n8n, Zapier, Make.com, GoHighLevel and Power Automate. Backend and data: FastAPI, Node.js, PostgreSQL with row-level security, Supabase, DuckDB, MongoDB, Redis and vector stores including FAISS and pgvector.

Cloud and operations: AWS covering EC2, Lambda, S3, Bedrock, App Runner and RDS, plus Docker, Vercel, GitHub Actions, Linux and Terraform. Machine learning: PyTorch, TensorFlow, scikit-learn, natural language processing, computer vision and time-series forecasting. MLOps and evaluation: eval harness design, LLM-as-judge scoring, hallucination and groundedness measurement, prompt engineering, tracing and continuous performance monitoring.

Data visualization and reporting: Streamlit, Plotly, Matplotlib, Seaborn and Power BI.