Anil Dhole
Program Director at Tata Technologies
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAnil Dhole is a Program Director and mechanical engineer with nine years of experience in chassis and suspension design and over a decade in automotive product development, now blending that domain expertise with AI for autonomous systems. He has led vehicle integration, CAD/CAE, and cost-and-weight optimization programs at Tata Technologies and previously drove suspension commodity and localization efforts at Renault-Nissan and Bajaj Auto. A Udacity Self-Driving Car Nanodegree graduate, Anil applies deep learning (TensorFlow, Darknet) and computer vision to practical problems—his AI-driven selective spraying system cut spray waste by 80%, illustrating a knack for translating research into high-impact field solutions. Equally comfortable from concept through validation, he pairs manufacturing know-how (hydroforming, forging, die casting, injection molding) with sensor fusion and robotics knowledge to deliver producible hardware-software systems. Based in Pune, he combines hands-on technical leadership with a proven record of delivering cost, weight, and performance improvements across automotive programs.
9 years of coding experience
3 years of employment as a software developer
Nanodegree, Self Driving Car Engineer, Nanodegree, Self Driving Car Engineer at UdacitySavitribai Phule Pune University
Github Skills (3)
darknet1
armhf1
armv81
Programming languages (2)
Github contributions (5)
ajdhole/Udacity-Behavioral-Cloning-P3
Jul 2017 - Jan 2019
Contributions:50 pushes, 1 branch in 1 year 6 months
ajdhole/Udacity-Traffic-Sign-Classifier-Project-2
Jul 2017 - Jul 2017
Contributions:19 commits, 18 pushes, 2 branches in 6 days
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