I am a Master's student in Machine Learning at the University of Tübingen, supported by the ELIZA research-based Master's Scholarship. Previously, I was an Associate ML Scientist II at the Wadhwani Institute for Artificial Intelligence, where I built computer-vision systems for agricultural AI — crop monitoring, pest detection, and yield estimation — with a focus on model optimization and real-world deployment.
I currently work with Prof. Hilde Kuehne and Edson Araujo at the CVML Lab on spatial audio, multimodal systems, spatial audio-visual question answering (Spatial-AVQA), and world models — building AI that perceives and reasons jointly across vision, audio, and 3D space. Broadly, I care about human-centric, reliable, and ethical AI for social impact, and about bridging theoretical ML with deployable systems.
News
- Jul 2026Selected for the Eastern European Machine Learning Summer School (EEML 2026) in Cetinje, Montenegro — unable to attend this year due to exams.
- Mar 2026Attended the ELLIS Winter School on Foundation Models (FoMo 2026) at ELLIS Unit Amsterdam.
- Oct 2025Started the MSc in Machine Learning at the University of Tübingen as an ELIZA Scholar; joined the CVML Lab on spatial audio-visual reasoning.
- Sep 2025Wrapped up two-and-a-half years at Wadhwani AI, where I helped ship the CottonAce crop-monitoring system nationally.
- Jan 2024Paper on multistage uncertainty-aware inference accepted at the AAAI 2024 Workshop on Deployable AI.
- Oct 2023Work on gall bladder cancer detection from ultrasound with only image-level labels appeared at MICCAI 2023.
Selected Publications
Education
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MSc Machine Learning2025 – 2027University of Tübingen, Germany · ELIZA research-based Master's Scholarship
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BTech Computer Science & Engineering2019 – 2023Guru Gobind Singh Indraprastha University, Delhi · GPA 9.6/10