Current

I'm breaking into competitive programming and working on writing essays and articles on deep-tech in Substack and eventually stream development on Discord, Twitch, and Youtube.

I'm currently reading Database Internals by Alex Petrov, Operating Systems: Three Easy Pieces by Andrea and Remzi Arpaci-Dusseau, and Algorithm Design by Jon Kleinberg and Éva Tardos.

Side Projects

Distributed Workload Runner

A mini-Nomad for scheduling Docker workloads across GPU fleets.

Python

Language Server for MPL

A language server for MaPLe, the parallel extension to Standard ML.

Rust

Future Projects: an experimental file-system, a GPU-aware scheduler for serverless platforms, MapReduce from scratch, context-sensitive search-engine for metadata & logs, tiny machine learning compiler, library containing state-of-the-art parallel algorithms for distributed deep learning, and PyTorch-inspired deep learning framework from scratch.