Joe Eappen

Graduate Assistant

West Lafayette, Indiana, United States
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Summary

👤
Senior
🎓
Top School
Joe Eappen is a PhD candidate and graduate assistant at Purdue University specializing in multi-agent systems, specification-guided learning, and safe reinforcement learning, with 11 years of experience spanning research and applied ML. He combines deep academic training from IIT Madras (BTech & MTech) with practical industry experience—internships at JPMorgan Chase, Synopsys, and IBM—building ML frameworks for circuit behavior prediction, offline RL, and NLP. His work at C-BRIC and SRC focused on robustness and safety in RL, bridging theory to deployable solutions. Comfortable across research and engineering contexts, he has repeatedly moved ideas from prototype to production-grade code and is open to roles starting early 2026. An understated strength is his cross-domain fluency: electrical engineering foundations inform his approach to machine learning for systems and hardware-aware applications.
code11 years of coding experience
job4 years of employment as a software developer
bookIndian Institute of Technology Madras
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Purdue University
languagesEnglish, Malayalam, Tamil, French
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Github Skills (22)

simulation8
simulator7
robotics7
game-development5
pybullet5
first-order-logic5
reinforcement-learning5
virtual-reality5
kinematics5
machine-learning4
visual-effects4
collision-detection4
logic-programming4
python3
bullet-physics3

Programming languages (2)

C++Python

Github contributions (5)

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yokian/qmshelper_studio

Dec 2014 - Oct 2016

Contributions:9 commits, 2 pushes, 1 branch in 1 year 10 months
jeappen/diff-spec

Jun 2023 - Aug 2025

Differentiable Symbolic Specification
Contributions:2 PRs, 41 pushes, 10 branches in 2 years 2 months
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