CORNELL CS '26 · DATABRICKS SWE

about me

[ photo ]

Solomon Lee

Software Engineer · Cornell CS '26

I'm a Computer Science student at Cornell University graduating in May 2026, and I love building systems that work at scale. Over the past three years I've interned at Google, Roblox (twice), and Amazon Robotics — shipping systems that process hundreds of millions of users, save over $1.3M annually through ML-driven optimization, and build ML recommendation tools running on Google Cloud.

I work mainly in Go, Python, and Java across Kubernetes, AWS, and GCP, with hands-on experience in ML systems including LLM fine-tuning, multi-modal pipelines, and model evaluation frameworks. What excites me most is the space where infrastructure meets intelligence: designing systems where ML doesn't just live in theory but runs reliably in production.

Outside of work I'm usually playing sports with friends, working out, snowboarding — I spent this past winter riding at Teine and Niseko Grand Hirafu in Japan — or planning my next trip abroad.

🎓
Cornell University · B.S. Computer Science
Expected May 2026 · College of Engineering
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experience

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Databricks
Software Engineer
Aug 2026 – Present
GoPythonSparkDelta Lake
Google
Software Engineer Intern
Aug – Nov 2025
JavaGCPVertex AISpringMCP
Roblox
SWE Intern — ML Platform
May – Aug 2025
GoKubernetesGCPPrometheusGrafana
Amazon Robotics
Software Engineer Co-op
Aug – Dec 2024
PythonAWSC++Robotics

projects

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▶ demo
Roblox — ML Platform

ML Kubernetes Descheduler & Cost Panel

$1.3M saved/yr · 25% GPU efficiency ↑

Roblox's ML platform runs thousands of GPU-intensive training jobs on Kubernetes. I built an ML Kubernetes Descheduler that automa...

GoKubernetesGCPRayJobs
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▶ demo
Google — Airlock Team

AI Package Recommendation Engine

Shipped in Gemini Code Assist · Gemini CLI

Engineers building Java apps at Google need to find the right internal packages, but LLM coding assistants would hallucinate packa...

JavaGCPVertex AISpring
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▶ demo
Cornell University — Undergrad Research

LLM Persona Belief Influence Research

+55pp pro · −35pp con gap · OOD generalization

I designed and built a persona-based evaluation framework to measure whether LLM belief adoption generalizes out-of-distribution. ...

PythonOpenAI APINLPLLM Evaluation
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get in touch

Currently open to full-time SWE roles in infrastructure, ML platforms, and distributed systems. Best way to reach me is email — I respond quickly.

✉ ssl242@cornell.edu
GitHub ↗LinkedIn ↗Resume PDF ↗
Solomon S. Lee
Cornell University CS '26 · Databricks SWE