Akshay Chandrasekaran
Systems Algorithm - HPR Lead at Texas Instruments
Karnataka, India
Summary
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Senior🎓
Top SchoolAkshay Chandrasekaran is a systems and algorithms lead with 9 years of experience specializing in mmWave radar, signal processing, machine learning and computer vision, currently driving HPR ADAS algorithm development at Texas Instruments. He built industry-first hand-gesture and K2O signal chains for xWRLx432 devices, enabling novel applications from smart toilets to automotive trunk/frunk control and opening new markets in China, Asia and Europe. A top contributor to ML/DL for mmWave devices, he pioneered CNN and PointNet-based solutions to solve gesture and kick recognition problems previously considered infeasible. Comfortable from customer-facing application engineering to technical leadership, he has turned demos into product wins and DWINs for key customers like Bosch and Aptiv. With a Master’s in Signal Processing and Machine Learning from NITK, he combines deep research knowledge with pragmatic system design to make everyday devices easier to use via automation.
9 years of coding experience
2 years of employment as a software developer
High School MathsPhysicsChemistry, High School MathsPhysicsChemistry at St Thomas Residential SchoolBachelor of Engineering - BE Electronics and Communications Engineering, Bachelor of Engineering - BE Electronics and Communications Engineering at SSN College of EngineeringMaster's degree Signal Processing and Machine Learning, Master's degree Signal Processing and Machine Learning at National Institute of Technology Karnataka
Tamil, English, Hindi, MalayalamGithub contributions (5)
akshay1621997/Modified-UNet-Architecture
Mar 2020 - Mar 2020
Contributions:9 commits, 8 pushes, 1 branch in 1 day
akshay1621997/imad-app-v2
Feb 2017 - Mar 2017
Contributions:14 pushes in 1 month
git-repositorypushprssubmit
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