Cambridge, MA

Sep 2024 - May 2027

• ▹Most interesting classes include Machine Learning (G), Natural Language Processing (G), Design and Analysis of Algorithms, Probability and Random Variables, and Linear Algebra.
• ▹Also keeping busy as an Intro to Machine Learning LA, competing with the Poker Club, programming a player for Pokerbots, and working on my own projects.

Los Gatos, CA

June 2026 - September 2026

• ▹Incoming Software Engineer Intern at Netflix on the Foundation Technology Platform team.

San Francisco, CA & Remote

May 2025 - Jan 2026

• ▹Built backend for bioinformatics AI agent, including LLM orchestration pipelines, API endpoints, services layer, and database integration
• ▹Fine-tuned virtual cell Foundation Model for perturbation response prediction on AWS
• ▹Working to integrate perturbation response prediction model into ArcellAI's AI agents

Remote

Jun 2025 - Sep 2025

• ▹Created AstroDash 2.0, a website and API serving Machine Learning models classifying supernovae spectra
• ▹Publishing as first author in the Journal of Open Source Software (JOSS) describing AstroDash's support for user uploaded models, optimized batch classification, visualization, and redshift estimation; all deployed on UIUC's SCiMMA cluster.
• ▹Trained CNNs on supernovae classification and redshift estimation. Used feature engineering, ensembles, K-Fold cross validation, and learning rate scheduling to surpass the original DASH on both tasks.

Cambridge, MA

Dec 2024 - May 2025

• ▹Contributed to and maintained PyTDC, a biocomputational tool used by 30k+ researchers and published at ICML 2025. See poster: https://icml.cc/virtual/2025/poster/45780
• ▹Published as first author on ICLR 2025 with a poster describing how to use LLMs and RAG to extend clinical pediatric growth charts. See poster: https://iclr.cc/virtual/2025/34322.
• ▹Built infrastructure to benchmark, fine-tune, and run inference on therapeutic AI models like scVI, scGPT, Geneformer, and ESM. Contributed drug sensitivity prediction experiments and molecule generation metrics.
• ▹Used Cython to build an optimized model server and development package for single cell ML models.

Lake Mary, FL

Jun 2024 - Aug 2024

• ▹Collaborated with backend team to automate account handling, reducing IT labor by 200hrs/month.
• ▹Built a REST API listener for Paylocity's webhooks and managed databases using C# and SQL.
• ▹Researched, developed, and presented a demo website using ASP.NET Core to highlight migration benefits.