Aditeya Baral

I am an Applied Researcher at Cisco Webex. I am currently training on-prem LLMs to integrate secure and cost-effective AI solutions with the Webex AI Assistant.

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 developing task-agnostic multi-modal architectures to advance understanding and reasoning capabilities in machines.

I previously worked as an Applied Research Scientist Intern at Intel Research India, where I was advised by Dr. Anbumani Subramanian and Anay Majee to develop various attention mechanisms for vision, aimed at autonomous driving in unconstrained traffic environments like India.

Even earlier, I worked as an Applied Research Intern 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 tasks ranging from language to vision.

You can read about my current and my published research on my projects and publications pages. I also write about relevant ideas and topics on my blog.