Summary
Ajinkya Gokule is an AI-focused software engineer and researcher pursuing a BS in Computer Science (and MS coursework in AI) at Oregon State University with four years of practical experience across research, teaching, and product prototyping. He collaborates with HP to build physics-informed neural networks that approximate 3D Navier–Stokes behavior for semiconductor cooling, achieving velocity predictions within ±5% of analytical solutions. His research portfolio includes adversarial robustness for implicit neural representations and NFT-based classifiers, with a co-authored paper submitted to ICLR 2026, and hands-on experience deploying RAG-based chatbots on AWS for campus use. Beyond technical depth in reinforcement learning, neural net optimization, and adversarial defenses, he brings strong mentoring and program-building skills—having supported hundreds of students as a teaching and academic learning assistant and organized regular workshops. He balances a creative outlook (philosophy, music, and code) with rigorous engineering, making him effective at translating complex physics and ML research into practical, deployable systems.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Oregon State University
High School Diploma Science, High School Diploma Science at DAV Public School, Pune