Vineet Joshi
Software Engineer - Embedded Deep Learning at MathWorks
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolVineet Joshi is a software engineer with 8 years of experience specializing in embedded deep learning, computer vision, and autonomous driving systems. Currently on MathWorks' embedded numerics team, he focuses on deep learning model compression and quantization, having previously developed reference applications for path planning, sensor fusion, and vision-based perception. His background blends hands-on customer support and prototype development with academic research—he has published papers and contributed to AI-for-good projects on public health and COVID modeling. Comfortable moving across research, product, and support roles, he has a track record of turning complex algorithms into customer-facing workflows and examples. Based in Bengaluru, he brings a pragmatic, data-driven approach and a curiosity-driven habit of "learning everything, bit by bit" that fuels continuous improvement of ML systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Software Engineering, Bachelor of Technology, Computer Software Engineering at Graphic Era University, DehradunMaster of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at Indraprastha Institute of Information Technology, Delhi
Github Skills (21)
tac10
minimax-algorithm9
multinomial7
minimax6
python5
spam-detection4
spam4
classifier4
bayesian4
sklearn3
support-vector-machine3
machine-learning2
prediction-model2
vector2
pytorch1
Programming languages (4)
Github contributions (5)
vineetjoshi253/JavaScript-Clock
Mar 2018 - May 2020
Contributions:6 commits, 5 pushes, 1 branch in 2 years 2 months
vineetjoshi253/TicTacToe-MiniMax
Feb 2018 - Feb 2018
A python implementation of Tic-Tac-Toe using MiniMax Algorithm.
Contributions:16 commits, 15 pushes, 1 branch in 12 days
pythonpython-implementationtoetacminimax
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