Jeel
Patel.
Software engineer at the intersection of ML systems, distributed computing, and high-performance infrastructure. MS Computer Engineering @ NYU.
Engineer, creator,
problem solver.
I build systems that scale — from deploying APIs on AWS serving 100K+ users to engineering fault-tolerant pipelines processing terabytes of HPC telemetry data.
Currently conducting HPC research at NYU analyzing GPU power consumption on MIT Supercloud, developing synthetic data pipelines using CTGAN and diffusion models.
Previously built multithreaded C++ services delivering 20% crash reduction, 35% latency improvements, and 50% order volume increases.
Tools I work with.
Where I've built things.
Present
Dec 2025
May 2024
Jul 2023
Academic foundation.
Selected work.
From the blog.
Thoughts on ML systems, engineering lessons, and the occasional honest post-mortem.
Academic contributions.
What people say.
Jeel consistently connected low-level performance metrics with higher-level architectural decisions, showing maturity well beyond what is typical at his academic stage. A rigorous, independent researcher.
Jeel was among the most effective, proactive, and collaborative students in my Big Data class. His problem-solving mindset made him a joy to teach.
Jeel's ability to solve problems and persistence in learning set him apart. His curiosity and communication were truly exceptional.
Jeel's curiosity, intellect, and collaborative mindset made him stand out. His passion for learning and helping others is truly inspiring.