
om bakale
@ombakale
I build edge-deployed computer vision systems for industrial automation and real-time video analytics.
What I'm looking for
At Motherson Group, I build production-ready computer vision solutions for industrial automation, quality inspection, workplace safety, face recognition, and real-time monitoring.
I design end-to-end pipelines for detection, tracking, pose estimation, defect inspection, and barcode scanning using PyTorch, YOLO, OpenCV, DeepStream, and FastAPI. I optimize inference on NVIDIA Jetson and Linux edge hardware with TensorRT, CUDA, ONNX Runtime, and INT8/FP16 quantization.
I've delivered multi-camera attendance, defect detection, forklift safety, and video analytics systems that process RTSP streams at low latency and integrate reliably with backend services.
Experience
Work history, roles, and key accomplishments
Computer Vision Engineer
Motherson Group
Jul 2024 - Present (2 years 2 months)
Developed and deployed computer vision solutions for industrial automation, including model optimization, pipeline development, and multi-camera stream processing. Managed full lifecycle AI workflows from data annotation to containerized deployment.
Education
Degrees, certifications, and relevant coursework
Centre for Development of Advanced Computing (CDAC)
Post Graduate Diploma, Artificial Intelligence
Completed a Post Graduate Diploma in Artificial Intelligence from CDAC, Noida in 2024.
MIT, Aurangabad
Bachelor of Technology, Mechanical Engineering
Earned a Bachelor of Technology in Mechanical Engineering from MIT, Aurangabad in 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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