Overview

I am a Master’s student in Machine Learning at the University of Tübingen and an ELIZA Master’s Scholarship recipient. Previously, I was an Associate ML Scientist - 2 at the Wadhwani Institute for Artificial Intelligence, where my work centered on computer vision and agricultural AI — building deep learning solutions for crop monitoring, pest detection, and yield estimation, with an emphasis on model optimization and real-world deployment.

Broadly, I am interested in human-centric, reliable, and ethical AI for social impact, and in bridging theoretical AI with practical, deployable systems. My earlier work spans medical AI for gall bladder cancer detection, the national deployment of the CottonAce crop-monitoring system, and uncertainty-aware inference for more robust ML pipelines.

Currently, I am working with Prof. Hilde Kuehne and Edson Araujo at the CVML Lab, University of Tübingen, on spatial audio, multimodal systems, spatial audio-visual question answering (Spatial-AVQA), and world models — building AI that can perceive and reason jointly across vision, audio, and 3D space.

Research Interests

• Spatial Audio & Multimodal Systems: Joint reasoning across vision, audio, and space
• Spatial-AVQA: Spatial audio-visual question answering
• World Models: Learning predictive models of the environment
• Computer Vision: Advanced deep learning for image analysis
• Medical Image AI: Healthcare applications and diagnostic assistance
• AI for Social Good: Agricultural technology and assistive technologies
• Model Explainability: Interpretable AI for real-world deployment