Work Experience • Projects • Publications • Education
Master’s student in Computer Science specializing in multi-sensor fusion, real-time object tracking, and uncertainty-aware state estimation. Experience building real-time detection and tracking pipelines, scalable multi-object tracking systems, and multimodal AI models, with a focus on deploying robust perception under real-world constraints and embedded environments.
| Degree | Institution | Duration |
|---|---|---|
| M.S., Computer Science | University of Massachusetts, Amherst | Sep 2024 – May 2026 |
| B.S., Data Science and Applications | Indian Institute of Technology Madras, India | Jan 2021 – May 2024 |
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Junior Data Scientist @ Sabio Inc (May 2022 - Mar 2023)
- Enhanced Ad Campaign Effectiveness: Architected and deployed advanced predictive models, leveraging K-Means Clustering for audience segmentation and Logistic Regression and XGBoost to forecast user interests. This initiative directly led to a 25% improvement in ad targeting precision, maximizing marketing ROI.
- Optimized Data Processing: Overhauled the core data pipeline codebase (Scala & Python) for audience segmentation to address performance bottlenecks. The revamped pipeline achieved a 30% reduction in runtime and an 80% increase in processing scale, enabling more complex and larger-scale data analysis.
- Automated End-to-End Data Integration: Engineered a fully automated data pipeline using on AWS using Apache Airflow and Spark with Scala to ingest, aggregate, and integrate large-scale third-party. This initiative streamlined bi-weekly updates, leading to a 40% reduction in data update times, and a 25% decrease in compute costs.
🥇 Gold Medalist, 2016 Indian National Taekwondo Championship (Light Heavyweight)