
Summary
Research-focused data scientist with 3+ years of academic and applied research experience in multimodal sensing, computer vision, and machine learning. Proven expertise in designing reproducible experiments, building data pipelines, and deploying deep learning models for real-world impact—particularly in agricultural and human-centered applications. Experienced in collaborating on interdisciplinary research teams, leading data-driven investigations, and publishing peer-reviewed scientific work. Passionate about solving complex research problems through rigorous methodology, ethical experimentation, and scalable, interpretable AI solutions.
Education
- M.S. in Animal and Poultry SciencesVirginia Tech2022-2024
- B.Tech. in Computer Science and EngineeringMaulana Abul Kalam Azad University of Technology2014-2018
Selected Experiences
- Graduate EngineerMeta (via Qualitest)2025-Present
- Data AnalystAngaraj Jewelers 2018-2020
- Software Development Intern (Android App)Hewlett Packard Enterprise (HPE)2017 Summer
Related Research


An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior
This study presents a hardware-agnostic computer vision workflow that integrates deep learning models with Slicing-Aided Hyper Inference (SAHI) to aut...

Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset
This study evaluates the generalization capabilities of object detection models for localizing cows in free-stall barns, utilizing the COws LOcalizati...