AI Systems Engineer | Data Engineer
I build AI systems, data pipelines, developer tools, and automation. I focus on LLM evaluation, agent systems, RAG, local AI, data engineering, and API integration.
- AI engineering: LLM evaluation, agents, RAG, MCP, local LLMs, and LoRA
- Data engineering: Python, SQL, PySpark, Spark, Databricks, and Pandas
- Backend development: FastAPI, REST APIs, OpenAPI, OAuth, and JWT
- Infrastructure: Linux, Docker, AWS, GitHub Actions, and CI/CD
- Developer tooling: CLI tools, API automation, docs as code, and developer workflows
Agent and tool infrastructure
Build modular tool systems, MCP integrations, context-aware routing, and multi-turn agent workflows.
Model evaluation and ML
Build LLM evaluation pipelines and behavioral experiments. Experiment with LoRA and transformer implementations in PyTorch.
Research infrastructure
Build local-first pipelines for research ingestion, summarization, embeddings, semantic retrieval, and research tracking.
Data and API automation
Build data pipelines, authentication workflows, API integrations, CLI tools, and developer automation.
Python SQL PyTorch Hugging Face Transformers FastAPI PySpark Spark Databricks Pandas Docker AWS Linux GitHub Actions OpenAPI Ollama MCP
More than 1,000 commits in 2025 and 2026 across AI engineering, data engineering, research, and developer tooling.