Aditeya Baral

I am a Masters in Computer Science student at New York University's Courant Institute of Mathematical Sciences.

My primary research interests lie in language and vision understanding. I work extensively in the field of transfer learning, foundation models and representation learning, with a focus on building task-agnostic multi-modal approaches to advance understanding and reasoning capabilities in machines.

Previously, I was an Applied Researcher at Cisco Webex AI where I fine-tuned on-prem LLMs to integrate secure and cost-effective AI solutions with the Webex AI Assistant. I have also worked as an Applied Research Scientist Intern at Intel Research India, where I was advised by Dr. Anbumani Subramanian and Anay Majee to develop attention mechanisms for vision, aimed at autonomous driving in unconstrained and heterogenous traffic environments like India.

Even earlier, I worked as a Research Assistant at the Center for Cloud Computing & Big Data during my undergraduate studies at PES University, where I was advised by Dr. KV Subramanium and worked on analysing tail latencies for latency-critical applications ranging from language to vision.

You can read about my current and my published research on my projects and publications pages!