Sourish Ghosh
Machine Learning Engineer at Apple
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolSourish Ghosh is a Machine Learning Engineer based in Sunnyvale with 11 years of experience building vision-driven robotics and AI systems, currently contributing to ML projects at Apple. His background spans academic research at Carnegie Mellon and hands-on robotics deployments—from autonomous medical-delivery drones in rural India to perception and planning internships at JPL, Princeton, and UMass Amherst. He combines robust stereo-vision and calibration expertise (notably contributions to an OpenCV/C++ stereo calibration tool) with practical experience shipping real-time perception and control software on constrained hardware. Comfortable moving between research and production, Sourish leverages a strong math-and-robotics foundation from IIT Kharagpur and CMU to solve safety-critical detection, tracking, and planning problems.
11 years of coding experience
6 years of employment as a software developer
High School, High School at Garden High School, KolkataMaster of Science (M.Sc.), Mathematics and Computing, Master of Science (M.Sc.), Mathematics and Computing at Indian Institute of Technology, KharagpurMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon University
English, Bengali, Hindi
Stackoverflow
131reputation
84reached
0answers
1question
Github Skills (5)
opencv10
c-language10
cprogramming-language10
camera-calibration10
pointer6
Programming languages (3)
Github contributions (5)
sourishg/stereo-calibration
Jun 2016 - Jan 2023
:camera: :camera: Stereo camera calibration using OpenCV and C++
Role in this project:
Backend Developer
Backend DeveloperContributions:23 commits, 6 PRs, 18 pushes in 6 years 7 months
Contributions summary:Sourish primarily focused on enhancing the stereo calibration project. Their contributions include implementing command-line options using popt, enabling the reading of images, and integrating popt for undistort_rectify and calib_stereo functionalities. Furthermore, the user added a calibration error metric and made improvements to the intrinsic calibration process. These changes streamline the calibration workflow and improve the overall usability of the stereo calibration tools.
cpphomographystereocameraintrinsics
sourishg/sourishg.github.io
Sep 2015 - Jan 2023
My website
Contributions:147 commits, 5 PRs, 136 pushes in 7 years 5 months
react
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