Akshay Kulkarni
Research Intern at Lawrence Livermore National Laboratory
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAkshay Kulkarni is a PhD candidate in Computer Science at UC San Diego specializing in interpretable and trustworthy machine learning, with eight years of research experience spanning academia and industry. He has contributed to top-tier publications on domain adaptation and semantic segmentation during a productive research stint at the Video Analytics Lab and has interned at Sony R&D and Lawrence Livermore National Laboratory working on generative AI and trustworthy ML problems. Akshay has taught graduate courses in Trustworthy ML and Numerical Linear Algebra, blending rigorous theoretical work with practical teaching and mentorship. His background in electrical engineering and flawless MS GPA reflect strong foundations in signal processing and numerical methods that inform his ML research. Notably, he has collaborated with industry researchers (Google Research) and participated in applied projects like airport ground management analytics, demonstrating an ability to move ideas from theory to deployed systems.
9 years of coding experience
University of California, San DiegoBachelor of Technology Electrical and Electronics Engineering, Bachelor of Technology Electrical and Electronics Engineering at Visvesvaraya National Institute of Technology
English, Hindi, Marathi
Stackoverflow
2,140reputation
222kreached
49answers
5questions
pytorch
top-5%
machine-learning
top-5%
deep-learning
top-5%
Github Skills (86)
python10
semi-supervised-learning10
deep-learning10
few-shot-learning10
adaptation10
ros10
robotics10
pretrain10
adversarial-learning10
ai10
kitti-dataset10
transfer-learning10
enet10
artificial-intelligence10
data-science10
Programming languages (6)
Github contributions (5)
IvLabs/stagewise-knowledge-distillation
Aug 2019 - Oct 2020
Code implementation of Data Efficient Stagewise Knowledge Distillation paper.
Contributions:99 commits, 9 PRs, 55 pushes in 1 year 2 months
data-efficientknowledge-distillationfastaiarxivunet
akshaykulkarni07/pl-sem-seg
Dec 2019 - Dec 2022
PyTorch Lightning based training of Semantic Segmentation models
Contributions:13 commits, 11 pushes, 1 branch in 3 years 1 month
pytorch-lightningsemantic-segmentationpytorchkitti-datasetkitti
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.