
Sahil Beniwal
@sahilbeniwal
Computer Vision Developer | Python, YOLO, OpenCV, real-time video analytics and AWS | Seeking full-time remote roles
What I'm looking for
At TCI Group, I developed YOLO-based truck rear detection and camera pipelines for dock occupancy monitoring. I integrated gate and ANPR events, deployed services on AWS, and improved observed ANPR response time from 6–8 seconds to 2–3 seconds through GPU inference and plate validation.
I also worked on bale and material detection, calibrated volume estimation, and expanded a BLE worker movement monitoring solution to 300 workers in a 500,000 sq ft warehouse. I built authenticated edge gateway access for private camera feeds, including approximately 30 feeds running at 1–2 FPS per stream on Raspberry Pi.
My research prototype explored multi-camera person tracking and cross-camera identity association using YOLO, McByte, and OSNet appearance embeddings; reliable warehouse-wide identity persistence remained under research and validation. At OneStepGreener, I worked on waste-image annotation, evaluated GroundingDINO and SAM2, and developed face-attendance anti-spoofing and hand-movement counting prototypes.
Experience
Work history, roles, and key accomplishments
AI/ML Developer
TCI Group (Transport Corporation of India Ltd)
Nov 2025 - Oct 2026 (11 months)
Developed YOLO-based truck rear detection and camera pipelines for dock occupancy monitoring across approximately 35 camera feeds, integrated gate/ANPR events and deployed services on AWS. Improved ANPR response time from 6-8 seconds to 2-3 seconds through GPU inference and plate validation.
AI/ML Developer Intern
OneStepGreener
Aug 2025 - Nov 2025 (3 months)
Worked on waste-image annotation, evaluated GroundingDINO and SAM2, developed face-attendance anti-spoofing and hand-movement counting prototypes, and investigated occlusion issues.
Education
Degrees, certifications, and relevant coursework
The NorthCap University
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Pursued a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. Completed coursework in Machine Learning, Deep Learning, and Natural Language Processing, and developed a facial-expression based mood identification and music recommendation web application.
Availability
Location
Authorized to work in
Salary expectations
Social media
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