Kapil Borle
Machine Learning Engineer at Woven by Toyota
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolKapil Borle is a Machine Learning Engineer with a decade of experience building robust, production-ready systems across autonomous mobility and enterprise software, currently at Woven by Toyota after six years at May Mobility and four at Microsoft. He holds a PhD in Electrical Engineering from Syracuse University where his research spanned airborne MIMO transceivers, cognitive radio security, and dynamic channel simulation—work that translated into a DARPA Spectrum Challenge finalist entry and hands-on GNU Radio/USRP prototyping. Kapil blends deep communications theory with practical software engineering to deliver ML-driven perception and connectivity solutions for real-world vehicles and platforms. Based in Ann Arbor, he’s comfortable moving projects from research prototypes to deployed systems, and his background suggests a knack for resilient wireless systems design that often goes unnoticed behind typical ML roles.
10 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering, Doctor of Philosophy (PhD) Electrical Engineering at Syracuse UniversityB.E Electonics & Telecommunications, B.E Electonics & Telecommunications at Savitribai Phule Pune University
Github Skills (30)
visual-studio-code10
debugging10
electron10
microsoft10
analyzer10
typescript10
formatter10
language-server-protocol10
intellisense10
vscode-extension10
editor10
language-server10
visual-studio10
vscode10
linter10
Programming languages (3)
Github contributions (5)
kapilmb/PowerShellEditorServices
Jun 2016 - Jun 2017
Contributions:26 pushes, 20 branches in 1 year
common-platformpowershellwindows
kapilmb/vscode-powershell
Nov 2016 - Jun 2017
Contributions:1 push, 4 branches in 6 months
visual-studio-codevscodevscode-extensionpowershelldebugging
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