Akash Harapanahalli

Graduate Research Assistant

San Francisco Bay Area United States
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Summary

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Senior
🎓
Top School
Akash Harapanahalli is a PhD candidate and Graduate Research Assistant blending rigorous mathematics, control theory, and machine learning to make AI-enabled control systems verifiably safe. He develops scalable computational tools—most notably the JAX-based immrax toolbox—for interval reachability and invariant set analysis, and has applied these methods to train neural controllers with formal safety guarantees. His work spans advanced topics like Lie-group reachable set computation and contracting dynamics on homogeneous manifolds, grounded in hands-on robotics experience from award-winning dual-arm manipulation projects. With nine years of multidisciplinary experience across academia and industry, he mentors students and seeks internships to translate theoretical advances into real-world systems. Notably, he pairs deep theoretical contributions with practical, GPU-scalable software—bridging the gap between provable guarantees and deployable controllers.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
bookDougherty Valley High School
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Github Skills (15)

data-acquisition7
oms5
verification4
machine-learning4
reachability4
python4
formal-verification3
odk3
data-science3
formal-methods3
neural-network2
autonomy2
cpp1
jax1
hardware1

Programming languages (5)

TypeScriptC++JavaScriptMATLABPython

Github contributions (5)

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Akash-Harapanahalli/immrax

Nov 2023 - Mar 2025

Interval Analysis and Mixed Monotone Reachability in JAX
Contributions:5 PRs, 81 pushes, 1 branch in 1 year 4 months
gtfactslab/immrax

Nov 2023 - Jan 2025

Interval Analysis and Mixed Monotone Reachability in JAX
Contributions:10 PRs, 8 pushes, 1 branch in 1 year 2 months
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Akash Harapanahalli - Graduate Research Assistant