Aathman Tharmasanthiran

Aathman Tharmasanthiran

Graduate student at Purdue University

Aathman Tharmasanthiran

Email: atharmas@purdue.edu

I am actively seeking full-time opportunities. I am a Master's student in Computer Science at Purdue University with 6+ years of industry and research experience in AI/ML. I specialize in building scalable, production-grade ML applications and advancing Generative AI, Vision-Language Models, and Robotics.

Currently, I am working as an AI Software Developer at Lyohub, where I built a multimodal RAG chatbot that retrieves and responds with relevant images, videos, and text from diverse knowledge sources on pharmaceutical manufacturing. This system is fully deployed in Kubernetes, ensuring scalability and reliability.

Previously, I was a Software Engineer - Machine Learning at WSO2, where I led the end-to-end development of multiple production-grade applications — from requirements gathering to deployment with CI/CD in Kubernetes environments. I bring strong experience in agile development and distributed systems.

🚀 Special Highlight: VR Training Application

I am developing an immersive VR training application for Apple Vision Pro to accelerate biomanufacturing workforce development. The application enables trainees to explore photorealistic cleanroom environments, learn aseptic procedures, and interact with AI-powered guidance modules.

Overcoming challenges: Vision Pro development lacks tutorials and established practices. I independently navigated limited documentation, experimented with APIs, and solved issues that even modern LLMs could not assist with. This highlights my ability to self-learn, adapt, and innovate in under-documented, cutting-edge environments.

My current research at Purdue focuses on developing a Vision-Language Action model that learns from human demonstration videos rather than traditional teleoperated imitation learning. This approach reduces data collection costs and leverages abundant internet video data, making robot training more scalable.

My interests span across LLM applications, Retrieval-Augmented Generation, Generative AI, Robotics and Multi-Agent Systems, Computer Vision, Natural Language Processing, and Reinforcement Learning.

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News!

  • November 2024: Joined LyoHub at Purdue University as a Graduate Student Researcher
  • May 2024: Joined e-Lab at Purdue University as a Graduate Student Researcher
  • September 2023: Joined CoRAL Lab (Cognitive Robot Autonomy & Learning Lab) at Purdue University as a Graduate Student Researcher
  • August 2023: Started my Masters in Computer Science at Purdue University.
  • April 2021: Started my first job as Software Engineer-Machine Learning at WSO2 LLC, Sri Lanka (Branch of WSO2 headquarter located at Santa Clara, CA, USA)
  • September 2021: Our paper Minority Resampling Boosted Unsupervised Learning with Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things to IEEE Access vol. 9
  • July 2021: Graduated from the Faculty of Engineering, University of Moratuwa, Sri Lanka with a first class in BSc.(Hons.) in Computer Science and Engineering.