Ritik Bompilwar

Ritik Bompilwar

AI Researcher & Engineer

Hello, I'm Ritik, an MS AI (Research) candidate at Northeastern University. I bring a blend of research, development, and product sense. Currently, I am working on Pose-based Temporal Activity Segmentation and Shot Progress in Cricket as my Master's thesis, advised by Dr. Ehsan Elhamifar (Northeastern University) and Dr. Habib Noorbhai (University of Johannesburg). My most recent work, QualiVision, was accepted at the Visual Quality Assessment Workshop at ICCV 2025, ranking 7th on the leaderboard for the AIGC Video Quality Assessment Challenge.

Computer Vision Generative AI Vision-Language Models Temporal Action Segmentation Multi-Agent RAG
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Career

Experience

Jan 2025 — Jun 2025
Gen AI Product Developer, Co-op
Burnes Center for Social Change, Northeastern University
Boston, MA
Applied human-centered design principles to architect One L, an automated legal document review tool for vendor submissions. Integrated automated LLM evaluation pipelines (RAGAS) into ABE and deployed to production to help procurement officials navigate complex regulations. Built One L as an AWS-based multi-agent RAG system to identify conflicts, with potential 83% reduction in legal review time and 6x operational scaling.
Jan 2023 — Apr 2023
Jr. AI Developer Intern
Openfabric AI
Remote
Adapted open-source ML models for production deployment, implementing custom UIs and optimizing model performance for marketplace distribution. Containerized and deployed 4 AI applications using Docker, creating scalable ML inference solutions for distributed computing platform.
May 2022 — Aug 2022
MITACS Globalink Research Intern
Dalhousie University · Advisor: Dr. Travis Esau
Truro, Canada
Engineered a machine vision system for detecting weeds in wild blueberry cropping, enabling localized spraying to help farmers cut costs. Fine-tuned YOLO and EfficientDet Lite models achieving 85.8% mAP. Optimized model size by 10x using quantization, achieving real-time detection at 17 FPS on Jetson Nano.
May 2021 — Apr 2022
Computer Vision Intern
Big Vision LLC · Mentor: Dr. Satya Mallick (CEO, OpenCV)
Remote
Designed and developed multiple CV/DL projects for OpenCV University's curriculum. Achieved 82.5% mAP for small ship detection and 99% accuracy for fashion apparel classification. Authored three technical articles on deep learning model optimization using TensorFlow Lite for LearnOpenCV.
Academic

Education

Jan 2024 — Apr 2026 (Expected)
Master of Science in Artificial Intelligence (Research)
Northeastern University, Khoury College of Computer Sciences
Boston, USA
Thesis: Pose-based Temporal Activity Segmentation and Shot Progress in Cricket. Research focus on computer vision, temporal action segmentation, and vision-language models. Published at ICCV 2025.
GPA: 3.85 / 4.0
Aug 2019 — May 2023
Bachelor of Technology
International Institute of Information Technology (IIIT), Naya Raipur
Naya Raipur, India
Foundation in computer science and engineering with early research in thermal imaging, UAV systems, and on-edge deep learning. Selected for MITACS Globalink Research Internship.
GPA: 8.77 / 10
Research

Selected Publications

ICCV 2025 · VQualA Workshop on Visual Quality Assessment
QualiVision: Multi-Modal Video Quality Assessment with Quality-Aware Fusion and Discriminative Learning Strategies
7th on AIGC Video Quality Assessment Challenge Leaderboard
IEEE Region 10 Symposium (TENSYMP) · 2022
tCrop: On-Edge Deep Learning for Thermal Plant Stress Detection
IEEE Xplore
IEEE Delhi Section Conference (DELCON) · 2022
Safe-to-Fly: AutoML-Based Fault Diagnosis for UAVs
IEEE Xplore