Eshani Patel
Software Engineer, Systems And Infrastructure at Caltech
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolEshani Patel is a software engineer focused on systems, infrastructure, and machine learning, currently completing a CS degree at Caltech and relocating to full-time work in summer/fall 2025. She blends research-grade ML on neural and astrophysical data with production experience—productionalizing XGBoost/Random Forest models and building Spark/Scala ETL pipelines at LinkedIn. Her Caltech research spans self-supervised transformers for iEEG and multi-modal diffusion models for dark matter reconstruction, with practical wins like a ~40% memory reduction enabling training on lower-spec servers. Comfortable across Java, Python, Scala, and cloud data stacks (GCP, Pub/Sub, Dataflow, BigQuery), she has shipped big-data logging and CI/CD for large classes and production services. Beyond code, she brings a knack for making complex research systems operational and mentors peers through TA leadership; outside work she plays basketball and stays active in her local Cupertino community.
11 years of coding experience
2 years of employment as a software developer
California Institute of TechnologyMonta Vista High School
English, Spanish
Github Skills (12)
nimble10
nim-lang8
macros8
ada7
metaprogramming7
procedural7
python5
c995
programming-language4
compiler4
language-design2
odin2
Programming languages (2)
Github contributions (5)
MasonMcGill/numerics
Feb 2015 - Apr 2015
Contributions:44 commits in 2 months
MasonMcGill/fauxton
Sep 2014 - Jan 2016
Contributions:35 commits in 1 year 4 months
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