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bhaskar vinay

@bhaskarvinay

AI & Robotics Engineer building real-time computer vision and YOLO monitoring systems. Experienced in PyTorch, OpenCV, and scalable ML pipelines.

India

Message

What I'm looking for

I'm seeking an AI/ML or Computer Vision Engineer role where I can build and deploy real-time detection systems, multi-model vision pipelines, and ML-driven analytics platforms.

I'm a Computer Science and Engineering student focused on AI and Robotics, building real-time computer vision systems for retail monitoring, industrial safety, and automated alerts. At Cavin Infotech, I developed a YOLOv11 retail product detection pipeline that achieved approximately 96% detection confidence and supported monitoring across 5+ concurrent video feeds.

I've built safety-monitoring, stacklight-identification, and review-analysis platforms using PyTorch, CUDA, OpenCV, FastAPI, Streamlit, and Python. My work includes a published paper on context-aware hazard tool detection using YOLO and temporal logic.

Experience

Work history, roles, and key accomplishments

Current

AI Evaluation Specialist

Current

Handshake AI FellowShip

Jul 2026 - Present (2 months)

Evaluate and improve the reasoning quality of large language models. Design and review challenging research-based tasks, verify answers against independent primary sources, and document model failure patterns against a defined quality rubric.

LLM Evaluation Prompt Design Structured documentation Analytical Skills Analytical Thinking

Immersive Technology Intern

Cavin Infotech

May 2025 - Jul 2025 (2 months)

Developed a real-time multi-class retail product detection pipeline using YOLOv11 achieving ~96% detection confidence across simultaneous object instances in shelf-monitoring scenarios. Built automated condition-based event triggers from live video streams, enabling scalable monitoring across 5+ concurrent feeds without manual inspection.

YOLOv11 Computer Vision Deep Learning Python Détection