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Ph.D. in Electrical Engineering

• {"GPA"=>4.0}
• {"Advisor"=>"Prof. Yasin Yilmaz"}

M.Sc. in Electrical Engineering

Applied Scientist II

• Object detection and video understanding for real-world video products.
• Vision-language models (VLMs) and LLM-based multimodal reasoning.

Applied Scientist II

• Led SUPRA, an automated content moderation strategy, adopted in 11 countries.
• Built a vision-language model trained on 1.9M videos for the cinema domain.
• Reduced operational costs by 34% through cross-functional collaboration.

Video Understanding Intern

• Built a scene-graph method to interpret object interactions in videos.
• Improved detection accuracy by 17% on limited-annotation datasets.

Data Science Intern

• Developed statistical models to determine train locations.
• Improved time-series classification accuracy with a weighted DTW algorithm.
• Submitted one patent application and two journal papers.

Graduate Research Assistant

• Built modular, interpretable frameworks for video understanding and surveillance.
• Implemented sequential anomaly detection with lower detection delay.

Method and system for railway vehicle location

• US20220258781A1

Online multivariate anomaly detection

• U.S. Patent No. 12,174,689

Online multivariate anomaly detection and localization

• 1st Place, CVPR Continual Learning Challenge

• 1st Place, NIST Automated Streams Analysis for Public Safety
• 2nd Place, IEEE Big Data Cup Road Damage Detection
• 2nd Place, NVIDIA AI CITY Challenge (CVPR 2020)

• Hack for Good Award, JP Morgan at Hack-a-bull
• Best Hardware Hack, InOut hackathon, SVNIT India

• International Chess Rating