Researcher · Founder · Ph.D., IIT Delhi
Learning to see, understand,
and build with AI.
I’m an AI researcher and founder working on computer vision, multimodal learning, and generative AI. My work connects research on how models perceive, represent, and generate the world with the engineering needed to build useful products. At OmniTensorLabs, I’m extending this work into multimodal systems, agents, and evaluation.
I co-founded TensorTour as CTO, taking it through its acquisition by Typeface in 2024. At Typeface, I served as AI Architect / Director of ML, leading research and engineering across image, video, and multimodal AI. My research has appeared at CVPR, ICCV, WACV, and ICRA.
At C-DAC, I led engineering for population-scale public systems and applied AI in healthcare. My work spanned national electoral search across 900M+ voter records, e-RaktKosh—adopted by 2,100+ blood banks by 2021—and health informatics at major tertiary and secondary care hospitals.
Selected research
Three threads through my work: efficient 3D representations, controllable generation, and learning across modalities.
3D vision / Efficient foundation models
Distilling 3D Foundation Models for the Edge
How much of a 3D foundation model can a smaller model retain? Foundry compresses rich point-cloud representations into compact tokens, preserving their usefulness across downstream tasks.
Generative AI / Object preservation
Controllable Image Synthesis with Object Preservation
Changing a scene should not change the object that matters. This work studies controllable image synthesis that preserves an object while adapting its surroundings, composition, and lighting.
Multimodal learning / Shared representations
A Novel Transformer Based Network for Large Scale Multimodal and Multitask Learning
Can different modalities benefit from learning together? OmniVec2 combines modality-specific input processing with a shared transformer and task-specific heads, extending the cross-modal learning explored in OmniVec.
For the full publication list and citations, visit Google Scholar.
Current work
Alongside publications, I build tools for developing AI systems, evaluating their behavior, and understanding the research landscape.
Research & products
My lab’s work on visual, multimodal, and agentic intelligence, connecting research questions with working demonstrations and AI products.
Explore the labOpen-source evaluation
A Python library for evaluating AI systems. Bringing repeatable evaluation into the process of building models and agents.
Explore MultivonResearch exploration
An interactive view of topic trends across major machine learning conferences, built to make the literature easier to navigate.
Open dashboardFrom the notebook
I’m happy to hear from researchers, engineers, founders, and anyone interested in the work.