John Rebeiro

AI CV Developer @ Embitel Technologies

About

Hello and welcome to his page. He is an M.Tech (Research) student at the Centre for Artificial Intelligence and Robotics (CAIR), IIT Mandi. His research focuses on Multi-Robot Collaborative Navigation using Safe Multi-Agent Deep Reinforcement Learning. His core specializations include Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Game Theory. In addition to robotics and MARL, he is currently exploring alignment methods for Large Language Models (LLMs) and Vision-Language Models (VLMs). He has also worked on Temporal Action Segmentation. Outside of research, he enjoys reading self-help books, watching and playing football, and experimenting with new recipes. A quote that resonates with him: "Being a good engineer is not always about having the best technology knowledge, that part can be taught. What can't be taught is integrity, tremendous work ethic and grit; that will definitely make you a good engineer no matter where you start." - Dr. Vijay Muralidharan

Country

India

City

Mumbai Metropolitan Region

Industry

Higher Education

Skill

PostgreSQL, Apache NiFi, Apache Kafka, Portainer, Docmost, Docker, DSA, Artificial Intelligence (AI), Control Systems, Programming, Reinforcement Learning, Large Language Models (LLM), Transformers, Generative AI, Pytorch Geometric, Gazebo, Petting Zoo, Robotics, Virtual Reality (VR), Algorithms

Experience

AI CV Developer

Embitel Technologies

2026-2 - Present · 8 mos

Working on integrating Vision-Language-Action models with reinforcement learning and world models to build scalable end-to-end autonomous driving systems.

Data Engineer

Tata Electronics

2025-11 - 2026-2 · 4 mos

Bengaluru

- Engineered real time electronic production data pipelines using Apache Kafka and Apache NiFi, containerized and managed via Portainer. - Deployed a department-wide documentation platform with SharePoint ingestion, enabling RAG-based LLM querying over safety and compliance documents.

Teaching Assistant

Indian Institute of Technology, Mandi

2023-3 - 2025-10 · 2 yrs 8 mos

Mandi, Himachal Pradesh, India

August - Dec 2023 IC102p - Design Practicum January - May 2024 IC102p , AR502 June - Oct 2025 AR523

Subject Matter Expert

Chegg India

2021-5 - 2024-8 · 3 yrs 4 mos

Research Scientist

Indian Institute of Technology Jodhpur

2022-5 - 2023-3 · 11 mos

Jodhpur

Teleoperated Surgical Robots " Tele-Presence and Tele-Action Systems for Robot-Assisted Dentistry " Accessories: 1. Haptic Kinesthetic Devices - Phantom Premium 1.5 6 dof HF 2. UR robots Worked on Control of Delay Instabilities in Tele-operated Haptic Surgical Systems using Virtual Environment developed in CHAI3D in collaboration with AIIMS Jodhpur and Brown University.

Intern

Indian Institute of Technology, Bombay

2017-6 - 2018-6 · 1 yr 1 mo

Education

Indian Institute of Technology, Mandi

AI and Robotics

2023-3 - 2026-2 · 3 yrs

Research: Multi-agent RL ,Game Theory, Control Theory Courses: AR501: Robot Kinematics, Dynamics and Control [A] AR502: Advanced Design Practicum [A] EE534: Probability and Random Processes [A] EE542: Modeling, Simulation and Control of HEV [O] CS591: Software Architecture and Software Ecosystem [C] CE598: Intelligent Transportation Systems [A] CS669: Pattern Recognition (Audit) Reinforcement Learning (NPTEL) Game Theory (Coursera) Graph Theory (NPTEL) Deep Learning (NPTEL) Introduction to LLM (NPTEL) Generative AI (NPTEL) Deep learning for Computer Vision (NPTEL)