About

I’m a Senior Research Engineer and Project Lead at Volkswagen Group Innovation, driving research projects in perception and AI tooling. My work focuses on vision-language search and retrieval, 3D generative design, and semantic understanding through robotics and computer vision. I lead multiple research initiatives, define technical direction, mentor early-career engineers, and shape strategy for high-impact innovation efforts.

In previous roles, I’ve developed both deep learning and classical computer vision systems including building GAN-based pipelines for creative applications, designing reinforcement learning agents using contextual bandits, and working on fine-grained recognition tasks using vision transformers for stylistic attribute detection. My work bridges foundational research and rapid prototyping, with a strong focus on solving real-world problems across diverse domains. You can learn more here

Outside of work, I’m passionate about education - specifically, how different teaching pedagogies can enhance students’ understanding of foundational concepts in math and English. I analyze data from schools in India that emphasize peer-learning environments and am particularly interested in how these approaches impact students across diverse socioeconomic and regional backgrounds. You can read more about my work on this topic in the publications section of this website, here

Focus Areas

• 3D Computer Vision
  Developing diffusion models for point-clouds and 3D meshes for generation and structural understanding in 3D environments, supporting tasks like simulation, design, and perception.

• Self-Supervised Learning
  Building vision-based systems that leverage unlabeled data for fine-grained classification, content filtering, and semantic scene understanding across real-world scenarios.

• Search & Retrieval
  Designing multimodal retrieval systems to surface rare and corner-case scenarios from millions of camera views and driving frames, enabling validation and safety analysis in autonomous vehicle datasets.

• Hierarchical Clustering
  Designing multi-level clustering frameworks to study how electric vehicles are charged and used; specifically to inform downstream tasks of determining batery state of health.