B.S. Computer Science, UCLA · Expected 2029

Andrew Woods

I build ML systems and measure their tradeoffs. My latest project routes 8.70% of requests to an LLM, reaching 88.08% accuracy across 77 intents. My retrieval benchmark found that reranking lowered quality on two of three datasets at roughly 70 times the query latency.

Most recently: Software Engineer Intern at OmicsAI Labs, where I unified three web and AI applications on AWS EC2 and built a six-page research portal.

Projects → Download resume (PDF) Publications →


Experience

Software Engineer Intern

OmicsAI Labs June 2026 to Aug. 2026

Remote

  • Unified 3 web and AI applications across 4 Docker services on AWS EC2 behind a single Caddy ingress, isolating application ports and persisting proxy and application state with Docker Compose.
  • Built a 6-page React/Vite research portal with 2 AI demo entry points, using a two-stage Docker build, Nginx SPA serving, and 30-day static asset caching.
  • Adapted two Python research interfaces for reverse-proxy subpath hosting with Gradio, Streamlit, and Caddy, including long-request proxying and a 200 MB OmicsGPT request-body limit.

AI Research Intern

Georgetown University Feb. 2024 to Nov. 2025

Dept. of Biostatistics, Bioinformatics & Biomathematics · Washington, DC

  • Built a Python experimentation pipeline with 5.8K+ non-comment lines across 16 notebooks, integrating external APIs, graph construction, feature weighting, embeddings, and evaluation for disease-aware multi-omics modeling.
  • Benchmarked 36 model/representation combinations (6 classifiers × 6 representations) with stratified five-fold cross validation on 382 samples, reaching a best reported CV AUC of 0.940 ± 0.014.
  • Integrated g:Profiler across four external data sources and cached four intermediate graph/weighting artifacts for reproducible reruns across heterogeneous API response schemas.

Education

B.S. Computer Science

University of California, Los Angeles 2026 to 2029

Los Angeles, CA

Coursework: Linear Algebra, Multivariable Calculus, Differential Equations, Discrete Mathematics.

Additional coursework: Data Structures & Algorithms in Python (Computer Programming 3).


Technical skills

Languages

  • Python
  • Java
  • JavaScript
  • SQL
  • HTML/CSS

Web & APIs

  • React
  • FastAPI
  • REST APIs

Infrastructure

  • AWS EC2
  • Docker
  • Docker Compose
  • Caddy
  • Nginx
  • Linux
  • Git
  • GitHub Actions

Testing & data

  • pytest
  • NumPy
  • pandas
  • scikit-learn
  • Sentence Transformers
  • NetworkX

Contact

Fastest way to reach me is email.

andrew.woods.jason@gmail.com

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