Goutam Bhat
Senior Software Engineer at Daimler Truck Innovation Center India (DTICI)
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolGoutam Bhat is a Senior Software Engineer with 9 years of experience specializing in ADAS, surround-view systems, object detection and traffic sign recognition, currently driving research and development at Daimler Truck Innovation Center India. He combines an MTech in VLSI & Embedded Systems with hands-on machine learning and computer vision engineering across Continental and Daimler, delivering production-focused perception features for automotive platforms. An active contributor to open-source visual tracking (pytracking) he has integrated major datasets like GOT10K, TrackingNet and LaSOT to improve data pipelines and model evaluation. Goutam’s background bridges embedded systems and data-driven ML, enabling pragmatic solutions that span sensor processing to model deployment in vehicle environments.
9 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech, VLSI and Embedded Systems, Master of Technology - MTech, VLSI and Embedded Systems at B V B College of Engg. & Technology, HUBLIBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at S D M College of Engg. & Technology, DHARWAD
Github Skills (7)
computer-vision10
pytorch10
machine-learning10
python10
data-integration10
data-set10
datasets10
Programming languages (1)
Github contributions (5)
visionml/pytracking
Apr 2019 - Dec 2020
Visual tracking library based on PyTorch.
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:130 commits, 2 PRs, 24 pushes in 1 year 8 months
Contributions summary:Goutam's commits primarily focus on updating dataset information and incorporating various visual tracking datasets like GOT10K, TrackingNet, LaSOT, VOT, UAV, and OTB into the pytracking library. The changes involve modifications to dataset classes, including data loading and preprocessing, to support these tracking datasets. Furthermore, the user adds support for the LTR datasets and integrates aspects of LTR's data handling.
pytorchvisual-trackingdeep-learningcomputer-visionmachine-learning
goutamgmb/deep-burst-sr
Aug 2021 - May 2022
Contributions:8 commits, 6 pushes, 17 comments in 8 months
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