Welcome to my Website
I’m Tanmay Garg, an ML Engineer at Adobe and M.S. in Machine Learning graduate from Carnegie Mellon University.
At Adobe, I work on the Experience Intelligence team building LLM evaluation infrastructure and agentic AI systems for Adobe GenStudio. My work spans LLM evaluation frameworks, multi-agent orchestration with MCP and LangGraph, and prompt engineering for enterprise AI applications.
I completed my M.S. at CMU working as a Graduate Research Assistant with Prof. Aarti Singh and Prof. Barnabas Poczos on physics-informed diffusion models for cosmology and multi-modal PDEs, bridging generative AI with physics-based learning. This work was published at the AI and PDE Workshop, ICLR 2026.
Prior to CMU, I completed my undergraduate studies in Computer Science and Engineering at the Indian Institute of Technology, Hyderabad, where I was associated with the Machine Learning and Vision Group under Prof. Vineeth Balasubramanian, leading to publications at ICCV 2023 and AAAI 2024.
Recent News
- Mar 2026 — Paper accepted: Physics-Informed Conditional Diffusion for Multi-Modal PDEs — AI and PDE Workshop, ICLR 2026
- Jan 2026 — Joined Adobe as ML Engineer, Experience Intelligence team at Adobe GenStudio
- Dec 2025 — Graduated with M.S. in Machine Learning from Carnegie Mellon University
- May 2025 — Started ML Engineer Internship at Adobe GenStudio
Research Interests:
- Agentic AI & Multi-Agent Systems
- LLM Evaluation
- Diffusion Models
- Physics-Informed Machine Learning
- Explainable AI
- Computer Vision & Transfer Learning
Personal Interests:
During my free time, I enjoy playing the guitar and have a taste for Rock, Blues, and Acoustic genres. I also love playing squash, and actively participate in competitions.
I’m also interested in theories of astronomy and the fundamentals of physics, while also following the latest advancements in technology.