B.S. Computer Science, UCLA · Expected 2029
Andrew Woods
I build ML systems and then measure whether they actually work — agentic pipelines, retrieval, evaluation. Usually the measurement is the interesting part: the last one found that the reranking step almost everyone adds by default lowered retrieval quality on two of three datasets.
Most recently: Software Engineer Intern at OmicsAI Labs, where I built agentic multi-agent pipelines for causal inference over multi-omics data.
Experience
Software Engineer Intern
OmicsAI Labs June 2026 – Aug. 2026Remote
- Architected a React frontend backed by FastAPI and a Gradio AI interface over an agentic multi-omics system.
- Deployed containerized services to AWS EC2 (Docker Compose, Caddy, HTTPS, subpath routing), shipping omicsai.org/agentic-causal to the lab's demo platform serving papers under review at Oxford Bioinformatics.
- Developed
LangGraph_Orchestrator, a LangGraph and Streamlit service coordinating multi-agent workflows across the platform.
AI Research Intern
Georgetown University Feb. 2024 – Nov. 2025Dept. of Biostatistics, Bioinformatics & Biomathematics · Washington, DC
- Designed a plan–act–verify architecture (LangGraph, GPT-4o) to evaluate whether agentic orchestration can replace hand-scripted RNA-seq pipelines, adapting preprocessing and embedding choices to the biological question.
- Formalized quantitative acceptance criteria — variance explained, resampling stability, cluster coherence, pathway concordance — as automated verification gates governing agent decisions.
- Encoded curated pathway structure (KEGG, Reactome, GO:BP, WikiPathways) as priors via gene–pathway incidence and Jaccard co-membership adjacency over DESeq2 variance-stabilized expression.
- Designed the ablation protocol benchmarking pathway-weighted embeddings against plain PCA and direct differential-expression baselines, with per-run artifact logging for reproducibility.
Education
B.S. Computer Science
University of California, Los Angeles Expected 2029Los Angeles, CA
Relevant coursework: Multivariable Calculus, Differential Equations, Linear Algebra, Discrete Mathematics, Computer Programming 3: Advanced Topics in Computer Science.
Technical skills
Languages
- Python
- Java
- JavaScript
- SQL
- HTML/CSS
AI & ML
- LLM applications
- RAG
- Agentic AI
- Multi-agent systems
- LangGraph
- OpenAI/GPT APIs
- Embeddings
- Weighted PCA
- Information retrieval
- BM25
- FAISS
- Cross-encoder reranking
- nDCG/Recall evaluation
Frameworks & infrastructure
- React
- FastAPI
- Streamlit
- Gradio
- REST APIs
- AWS EC2
- Docker Compose
- Caddy
- Linux deployment
Bioinformatics
- DESeq2
- g:Profiler
- KEGG
- Reactome
- Gene Ontology (GO:BP)
- WikiPathways
- Multi-omics analysis
Tools
- Git
- GitHub
- GitHub Actions
- pytest
- Vector search
- VS Code
- Conda
- Linux/Terminal
Contact
Fastest way to reach me is email.
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