Currently

Soon

heading to Meta Compute Infra team

Reading

Designing Data-Intensive Applications again

Building

a C extension rewrite of my neural net library

Class

parallel computing/operating systems — writing kernels

Poking at

Claude Code

Training

for Ironman 70.3 Long Island NY, September

Experience

1. Incoming SWE Intern

   Summer 2026 · Menlo Park

   Joining the Compute Infra team at Meta.

2. SDE Intern · Amazon

   Summer 2025 · New York

   I built infrastructure for AI agents on Amazon's internal service-to-service identity platform, letting agents call internal services under their own identity instead of impersonating users. Implemented the OAuth 2.0 client-credentials and token-exchange flows, a multi-region client registry on DynamoDB, and an MCP server for programmatic credential management.

3. ML Systems Researcher · Stanford — Prof. Alex Aiken's group

   Spring 2025 · Stanford

   I worked on automated GPU kernel optimization, targeting a hot attention kernel in SGLang on H100s. Built a multi-agent LLM loop in Python that proposed CUDA variants and iterated on Nsight Compute profiles. Productionized the best candidate for a meaningful end-to-end inference speedup. Led to a NeurIPS workshop paper.

4. Enterprise SWE Intern · State Farm

   Summers 2023 & 2024 · Atlanta · Dallas

   Migrated an on-prem claims service to AWS serverless (Lambda, API Gateway, Step Functions, DynamoDB) in Python, provisioned with Terraform. Standardized GitLab CI/CD across a dozen application teams.

5. Systems Intern · Verizon

   Summer 2022 · Naples, FL

   Built a REST API comparison tool in Python using DeepDiff to catch response mismatches between staging and production across the team's internal services. Deployed it on EC2 with CloudFormation and set up an internal status dashboard so the team could monitor fleet health without any SSHing.

6. ML Intern · Collier County Public Schools

   Summer 2021 · Naples, FL

   Built a student-facing chatbot for academic and mental-health support and a companion teacher portal for accessing student records and testing results, across a React / Node / MongoDB stack. Fine-tuned BERT — a transformer-based foundation model, state-of-the-art at the time — for intent classification over district-specific queries, and wired it to per-student context so responses pulled from each student's own records.

7. Coding Instructor & Mentor

   2021 – 2023 · Remote

   Taught machine learning across every audience I could reach in Southwest Florida, middle and high school students, and working software engineers in the area, and wrote and published a small neural net library on PyPI that I used as teaching material.