Summarizing contributions to the brilliant companies that housed me over the past 8 years.

Chainlink (2023-24)
Research and Development Org

I led a project on ranking Chainlink's data providers based on their performance, using hypergraph deep learning and Bayesian stats. Chainlink Labs is a FAANG equivalent in the web3 infrastructure world. 

UC San Diego (2022-23)
Adaptive Computing and Embedded Systems (ACES) Lab

I developed a novel, end-to-end, scalable, dataset- and model-agnostic PyTorch framework to accelerate the inference of Graph Neural Nets -- reducing the time & communication costs for node-level tasks across distributed computing settings. We collaborated with teams across Intel Labs.

IIIT Delhi (2020-21)
Multimodal Digital Media Analysis (MIDAS) Lab

I built AI systems and wrote algorithms for quant trading over multimodal data. I also designed NLP and graph-based AI/DL solutions to large-scale economic and societal problems. We worked with researchers across Tower Research Capital, Bloomberg AI NYC, MIT CSAIL, NUS Singapore, and Vanderbilt University.

CSIR, Govt. of India (2018-20)
Intelligent Systems Group

I devised AI/ML computer-vision solutions to critical technical problems for the Indian government and its industry collaborators. Broadly, my work: prevents drivers from falling asleep behind the wheel, prevents spoofing attacks on face recognition systems, flags intricate human activities in videos for military purposes, and more. We worked with researchers across LG Soft, Samsung, Hiroshima University, and the IITs.

ISRO, Govt. of India (2017-18)
Photogrammetry and Remote Sensing Division

I engineered an intelligent Java solution that ingests satellite images of India and highlights the different 'land cover' types in them. ISRO's parent toolkits still use this functionality.

CEERI, Govt. of India (2017)
Cognitive Computing Group

I wrote an ML software that detects eye blinks in real-time video streams of human faces, for a project in collaboration with Samsung.