CV
General Information
| Full Name | Jeet Vora |
| jeet.vora2010@gmail.com | |
| Phone | +91-9930363408 |
| Location | India |
| GitHub | https://github.com/jeetv |
| https://linkedin.com/in/jeetvora |
Education
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2019 - 2023 
Master’s by Research in Computer Science
IIIT Hyderabad - Specialization in Artificial Intelligence and Robotics
- CGPA 8.2/10.0
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2015 - 2018 
Bachelor of Engineering in Computer Science
University of Mumbai - CGPA 8.96/10.0
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2012 - 2015 
Diploma in Computer Science
Shri Baghubhai Mafatlal Polytechnic - CGPA 8.2/10.0
Experience
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2025 - Present 
Research Consultant
King Abdullah University of Science and Technology (KAUST) - Research Collaboration - IVUL Lab, KAUST - Prof. Bernard Ghanem, Dr. Silvio Giancola, Dr. Karen Sanchez, Dr. Merey Ramazanova, and Jintao Ma.
- Leading research and system design for SoccerNetPro, a large scale football video understanding framework for spatio-temporal AI modeling.
- Architecting a modular and extensible Python research library supporting Action Classification, Temporal Localization, Retrieval, and Automated Video Description.
- Developing scalable training, inference, and evaluation pipelines for multi-modal inputs, including raw video, frame sequences, pre-extracted features, and player tracking data.
- Establishing reproducible experimentation protocols and benchmarking standards for standardized evaluation across large annotated sports datasets.
- Conducting empirical studies on model generalization, efficiency, and performance trade-offs to advance research in sports video analytics.
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2022 - 2025 
Research Engineer
Animaker India Pvt. Ltd. - Led applied research in AI-ML (CV/NLP) across multiple Animaker platforms (Animaker, Steve.ai, Picmaker, Vmaker), delivering AI systems serving 25M+ users.
- Designed and optimized deep learning models for video/image matting, multimodal retrieval, script-to-Animated video generation, script-to-GenAI video architecture, controllable character builder pipeline, and audio driven talking-head animation.
- Implemented knowledge distillation and model compression techniques achieving 8× inference speedup, enabling 4 concurrent model workers on a single 24GB GPU.
- Architected end-to-end ML pipelines including dataset curation, training infrastructure, evaluation protocols, CI/CD integration, and GPU optimized scalable deployment.
- Drove cross-functional collaboration with Product, DevOps, and Engineering teams to transition research prototypes into reliable, production grade AI services.
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2020 - 2023 
Research Student
Star Sports (via IIIT Hyderabad) - Project Supervisor - CVIT Lab, IIITH - Dr. Vineet Gandhi
- Developed Real-Time Player Tracking at 30fps with 4K/FullHD live streaming.
- Formulated player merging from multiple cameras in bird’s eye view as a linear assignment problem.
- Worked on camera calibration and homography for cricket grounds to enable multi-camera player tracking, bird’s-eye view transformations, and real-world trajectory analysis.
- Set up infrastructure using Blackmagic Design products for 4K live streaming and processing.
- Deployed and broadcasted technology for live matches at,
- Asia Cup 2022 (UAE, Dubai).
- Asia Cup 2023 (Sri Lanka).
- Tamil Nadu Premier League (TNPL).
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2022 
Research Collaborator
Apple (via IIIT Hyderabad) - Project Supervisor - CVIT Lab, IIITH - Dr. Vineet Gandhi
- Developed a video understanding prototype for industrial assembly-line monitoring using deep learning based Video Classification and Action Recognition with Temporal modeling techniques.
- Designed and evaluated spatio-temporal models to classify fine-grained assembly operations under real-world production constraints.
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2018 - 2019 
Software Engineer
Vistaar Technologies, Inc. - Worked as part of the Reimbursement Solution Team, analyzing and providing technical solutions.
- Directly involved in development, delivery and onboarding of Vistaar’s Saas based Reimbursement product for clients.
- Designed and implemented tailored solutions for Diageo, E. & J. Gallo Winery, and Brown-Forman, improving and streamlining processes, maximizing recovery, and enhancing customer success.
Mentorship & Teaching
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2024 - 2025 
AI-ML Mentor
InLustro Learning - Providing industry-relevant AI-ML training and mentorship to students, professionals, and faculty members through lecture sessions and hands-on workshops.
- Mentored 14 AI-ML projects, guiding teams in model development, optimization, and deployment.
- Collaborated with clients, including L&T Madh Training Academy and MLR Institute of Technology, to deliver tailored AI-ML solutions.
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2022 Teaching Assistant - Statistical Methods in AI
IIIT Hyderabad - Lecturer Dr. Vineet Gandhi
- Course Statistical Methods in AI (SMAI), Spring 2022.
- Prepared assignments, conducted lab sessions/tutorials, and guided students through projects.
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2021 - 2022 
AI-ML Mentor
TalentSprint - Supervisor Dr. Anoop Namboodiri
- Mentored AI-ML projects as part of the AI/ML program by IIIT Hyderabad and TalentSprint.
- Provided guidance on AI-ML projects and conducted lab sessions.
- Supervised 4 teams working on Image Tagging and Road Object Detection.
Publications
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2023 Bringing Generalization to Deep Multi-View Pedestrian Detection
WACV 2023 Workshops - Proposed a generalizable model for multi-camera detection.
- Proposed and evaluated a model incorporating generalization for multi-camera detection across varying camera setups and new scenes.
- Achieved a 20% improvement in MODA and MODP metrics over benchmarks.
- Created synthetic datasets for multi-camera detection using GTA-V and Unity game engines.
- Developed post-processing tools for joint calibration and synchronization of multiple cameras.
- Demonstrated strong generalization from synthetic to real-world scenarios (Sim2Real).
Skills
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Programming
- Python
- C
- C++
- SQL
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Deep Learning
- PyTorch
- ONNX
- TensorRT
- Hugging Face
- LangChain
- OpenAI API
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Computer Vision
- OpenCV
- Open3D
- PIL
- Unity
- GTA-V Scripthook
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Deployment & Infrastructure
- AWS Sagemaker
- EC2
- Torchserve
- Flask
- Docker
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Big Data & Analytics
- ElasticSearch
- Kibana
Research Interests
- Computer Vision
- Video Understanding
- Multi-Camera Visual Perception
- Creative AI
- Generalization
- Vision based Sports Broadcasting and Analytics
Courses
- Statistical Methods in AI
- Digital Image Processing
- Computer Vision
- Mobile Robotics
- Optimization Methods
- Topics in Applied Optimization