Programming
Python, SQL, JavaScript and TypeScript, C
Skills
Tools and areas I work with
I am strongest in Python, data systems, applied AI, and backend engineering. The exact stack changes with the problem; these are the technologies and areas I have used most often.
AI and applied ML
LLM applications, retrieval and RAG, embeddings, agent workflows, NLP, fine-tuning with PEFT, PyTorch, scikit-learn, LangChain, LangGraph
Backend and data
FastAPI, Django, REST APIs, PostgreSQL, data pipelines, ETL, large-scale data processing, system design
Cloud and delivery
AWS (EC2, ECS, S3, RDS, Batch, Lambda, IAM, VPC, and CloudWatch), Google Cloud, Docker, GitHub Actions, Linux
Scientific computing
Bulk RNA-seq workflows, single-cell RNA-seq data, biological ontologies, biomedical literature and dataset retrieval, scientific visualization
Working across the stack
Technical architecture, proofs of concept, production systems, product requirements, technical documentation, performance and cost trade-offs