Shaheryar Sohail
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolShaheryar Sohail is an AI-focused software developer and University of Pittsburgh computer science student with seven years of hands-on experience building scalable systems, real-time game infrastructure, and neural-network driven tooling. He has shipped production backends and APIs using containerized deployments and Kubernetes, implemented efficient data compression with Zstandard, and designed replay and physics engines for MMO-scale games. Shaheryar pairs practical engineering—multi-threaded services, streaming pipelines, and cloud-based inference—with research-minded AI work like PyTorch sentiment models and continuous model refinement on Google Cloud. Notably, he began coding as a child and is largely self-taught, which underpins a wide polyglot skill set and a knack for creative, resource-efficient solutions. Based in Pittsburgh, he combines product-aware system design with the curiosity to explore novel AI applications and anti-cheat/user-experience tooling.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Pittsburgh
Github Skills (200)
torchscript10
minecraft10
python10
deep-learning10
cpp10
chessboard10
modular10
uci10
alpha-beta-pruning10
dotnet10
stockfish10
ml10
libtorch10
rotate10
neural-network10
Programming languages (14)
Github contributions (5)
TheBlackPlague/StockNemo
Apr 2022 - Jan 2023
A C# Chess Engine Finding Good Moves.
Contributions:23 releases, 14 reviews, 333 commits in 8 months
moveschess-enginefindingchessboardcsharp
TheBlackPlague/MantaRay
Apr 2023 - Mar 2025
Lightspeed C++ Neural Network (UE) Inference Library for Chess
Contributions:2 PRs, 48 pushes, 6 branches in 1 year 11 months
chess-aichess-enginecppinference-engineneural-network
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