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varghese kuruvilla

@varghesekuruvilla

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I build computer vision and robotics systems for real-time edge deployment and autonomous navigation.

India

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What I'm looking for

I'm looking to build computer vision, robotics, and autonomous systems that move from research into reliable real-world deployment, especially in edge AI, perception, navigation, and generative vision.

I've built production computer vision systems at TangoEye, including a multi-camera retail footfall-counting pipeline using YOLOv5, DeepSORT, Kalman filtering, and cross-camera re-identification. I also optimized edge inference for real-time operation across simultaneous CCTV streams and helped turn tracking outputs into retail analytics.

At ARTPARK and IISc, I developed autonomy, perception, and navigation stacks for warehouse robots and ground vehicles, including a UGV demonstrated at the Indian Army–SIDM UGV Experiment. My research spans generative AI and part-aware image synthesis, with publications at ACM Multimedia and CVPR Workshop and work under review at NeurIPS.

Experience

Work history, roles, and key accomplishments

Computer Vision Engineer

TangoEye

Mar 2022 - Jul 2023 (1 year 4 months)

Built a multi-camera footfall counting pipeline for retail stores using person detection, multi-object tracking, and cross-camera re-identification. Deployed inference pipelines on edge hardware and collaborated with product and data teams to translate tracking outputs into retail analytics dashboards.

YOLO V5 Deep SORT Kalman Filter Multi Object Tracking Edge Deployment NVIDIA Jetson Computer Vision Retail Analytics

Technical Consultant

ARTPARK @ IISc

Apr 2021 - Feb 2022 (10 months)

Developed the full autonomy stack for a multi-robot warehouse automation system using ROS2, including localisation, path planning, collision avoidance, and coordinated task scheduling. Built the perception and navigation stack for an Unmanned Ground Vehicle demonstrated at the Indian Army–SIDM UGV Experiment 2021.

ROS2 Localization Path Planning Collision Avoidance Multi Robot Coordination Sensor Integration Obstacle Detection Autonomous Navigation

Project Associate

Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), IIS

Jul 2020 - Mar 2021 (8 months)

Designed and implemented a vision-based localisation algorithm for a semi-autonomous ground vehicle using deep feature extraction and geometric pose estimation. Integrated the localisation module with the vehicle's broader autonomy stack and validated performance across varied lighting conditions and dynamic obstacles.

Computer Vision Localization Deep Feature Extraction Pose Estimation Autonomy Stack Sensor Integration

Research Intern

Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), IIS

Aug 2019 - Jun 2020 (10 months)

Achieved 4th place globally at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) by developing the team's computer vision stack, covering real-time object detection, multi-object tracking, and end-to-end model deployment on an NVIDIA Jetson edge device. Designed and benchmarked detection and tracking pipelines under competition conditions.

Object Detection Multi Object Tracking NVIDIA Jetson Edge Deployment Model Optimisation Computer Vision

Education

Degrees, certifications, and relevant coursework

IIIT Hyderabad

Master of Science (by Research), Computer Science & Engineering

2023 -

Grade: 8.5 / 10

Pursuing Master of Science (by Research) in Computer Science & Engineering with a focus on Generative AI and Part-Aware Image Synthesis. CGPA: 8.5/10.