CV
Education
- M.S. in Machine Learning, Carnegie Mellon University, 2025
- B.Tech. in Computer Science and Engineering, Indian Institute of Technology Hyderabad, 2024
Experience
- 2026 - Present: Machine Learning Engineer
- Adobe
- LLM evaluation frameworks, brand-compliance validation, and multi-agent (MCP) systems
- Summer 2025: Machine Learning Engineer Intern
- Adobe GenStudio. Built a hierarchical multi-agent MCP framework (FastMCP, LangGraph, Agno) with 12+ compliance tools
- 2024 - 2025: Graduate Research Assistant
- Machine Learning Department, Carnegie Mellon University
- Supervisors: Prof. Aarti Singh and Prof. Barnabás Póczos. Physics-informed diffusion models for PDEs and cosmology
- 2022 - 2024: Undergraduate Researcher
- Department of Computer Science and Engineering, IIT Hyderabad
- Supervisor: Prof. Vineeth N Balasubramanian. Explainability and transfer learning
- Summer 2023: Project Intern
- Oracle India. Enterprise structure setup for the Financials offering
Skills
- Languages: Python, C/C++, CUDA, SQL, JavaScript, LaTeX
- ML and LLM: PyTorch, JAX, HuggingFace, TensorFlow, LangChain, LangGraph, diffusion models, LLM evaluation
- Agentic systems: MCP (FastMCP), A2A, Agno, CrewAI, Web Crawlers
- Engineering: FastAPI, Docker, AWS, Pytest, Weights & Biases, Databricks
Honors
- VAK Research Excellence Award, IIT Hyderabad CSE Department, 2024 (undergraduate research)
Professional service
- Reviewer: NeurIPS 2026; ICML 2026; AI and PDE Workshop at ICLR 2026
Publications
Teaching Assistant