Arsh Singh
Overview
Machine Learning Research Intern @Simulacrum
Vice President, Technology Implementation @Cornell Data Strategy
Technical Project Manager @Cornell Digital Tech & Innovation
Bethpage, NY
he/him
Social Links
About
I'm a Computer Science major at Cornell University with minors in Business and Artificial Intelligence. I love building things end to end, hardware and software, and I'm happiest when an idea turns into something real that people can actually use.
A lot of what I make lives where software meets the physical world: wearables, sensors, and on-device AI, along with the full-stack apps and tools around them. I like understanding how things work from the ground up, so I tend to build from scratch and learn by doing.
I also really enjoy hackathons for the fast paced teamwork and the challenge of turning an idea into a demo overnight. They're one of my favorite ways to pick up new tools, meet other builders, and experiment with bold ideas.
Outside of school, I tinker with hardware and small electronics, mess around with my homelab, and play tennis and SSBU for fun.
I'm always happy to connect with people who like creating, shipping, and figuring out how things work!
Stack
Blog
Experience
- Reimplementing deep time-series forecasting models in a JAX-based research framework, matching reference implementations on accuracy across benchmark datasets while substantially improving training throughput and warm-start efficiency.
- Built and shipped open-source tooling that automates documentation generation across the framework's full module surface, with an LLM pipeline wired into CI so generated docs stay in sync with the codebase as new models merge.
- JAX
- Flax
- Optax
- Python
- Time-Series Forecasting
- Machine Learning Research
- LLM Pipelines
- Cloud Run
- CI/CD
