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Sahil BeniwalSB
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Sahil Beniwal

@sahilbeniwal

Computer Vision Developer | Python, YOLO, OpenCV, real-time video analytics and AWS | Seeking full-time remote roles

India
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What I'm looking for

I'm seeking a full-time remote Computer Vision Engineer, Applied ML Engineer, or junior AI/ML engineering role with an international company or startup hiring from India. I'm available immediately.

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

TL

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.

Education

Degrees, certifications, and relevant coursework

The NorthCap University logoTU

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.

Tech stack

Software and tools used professionally

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