Ishwar Kulkarni
Technical Lead at NVIDIA
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolIshwar Kulkarni is a Technical Lead at NVIDIA with a decade of experience building production-grade autonomy systems, specializing in 3D perception, multi-modal planning, and performance-critical CUDA implementations for L2–L4 vehicles. He combines deep research in transformer and reinforcement-learning based behavioral planning with hands-on GPGPU engineering to meet ISO26262 and MISRA safety and timing constraints. His background spans hardware architecture, real-time simulation, and mapping pipelines, enabling him to bridge chip-to-software tradeoffs that accelerate deployment. Based in San Jose, he’s known for turning academic techniques from his UC Irvine research into scalable, cloud-deployable solutions for autonomous driving.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering, Information Science and Engineering, Bachelor of Engineering, Information Science and Engineering at Visvesvaraya Technological UniversityKendriya Vidyalaya SangathanMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of California, Irvine
Hindi, Kannada
Stackoverflow
33reputation
4kreached
0answers
1question
Github Skills (5)
machine-learning7
deep-learning6
generic-programming6
functor6
caffe5
Programming languages (2)
Github contributions (5)
IshwarKulkarni/NeuralNetworks
May 2016 - Sep 2016
Contributions:88 commits, 53 pushes, 2 branches in 3 months
IshwarKulkarni/AutoEncoder
Oct 2019 - Mar 2020
Contributions:14 pushes, 3 branches in 5 months
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