Varun Sridhar
Machine Learning Engineer at Alethea
Blacksburg, Virginia, United States
Summary
👤
Senior🎓
Top SchoolVarun Sridhar is a machine learning engineer with nine years of experience applying ML and software engineering at the intersection of computational biology, healthcare, and energy. He has built and deployed research-grade deep reinforcement learning and evolutionary search solutions—from optimizing neuromodulation waveforms on supercomputers to production ML work for renewables—using PyTorch, PyTorch-Lightning, and SLURM. Varun combines a solid EE foundation (B.S., UT Austin) with an M.S. in Computer Science to bridge algorithmic research and practical engineering, automating data and budgeting pipelines along the way. Now based in Blacksburg, VA, he contributes across the stack at Alethea while bringing a knack for translating academic SOTA ideas into reproducible, scalable code. A detail that often surprises collaborators: he pairs hands-on MATLAB prototyping with production Python tooling to accelerate end-to-end experimentation.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical Engineering, 3.76, Bachelor's degree, Electrical Engineering, 3.76 at The University of Texas at Austin
Github Skills (20)
lifecycle7
apache-spark7
machine-learning7
ray7
ai6
python6
apache6
deep-learning5
model-management5
dvc5
incremental-learning5
kubernetes4
mlflow4
benchmarking3
ml3
Programming languages (2)
Github contributions (5)
varunsridhar1/SneakerClassifier
Jul 2019 - Aug 2021
Contributions:29 commits, 7 pushes in 2 years 1 month
varunsridhar1/NBAShotPredictor
Nov 2017 - Feb 2019
Contributions:14 pushes, 1 branch in 1 year 3 months
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