Raghu Hemadri
ML Research @ NYU

370 Jay St.
NYU, Tandon School of Engineering
Brooklyn, NY, 11201
I am Raghu Hemadri, a Machine Learning Researcher with a strong focus on Natural Language Processing (NLP) and Reinforcement Learning (RL). Currently, I am working under the supervision of Prof. Siddharth Garg at NYU, exploring LLMs for hardware design. My latest research involves real-time hardware code analysis, a collaboration with Synopsys. Currently, I am collaborating with Microsoft Research on domain-specific LLM fine-tuning and distillation.
Beyond my research in LLMs, I also work with Siddharth Nayak (PhD @ MIT) on developing human-interpretable multi-agent RL (MARL), leveraging multimodal AI for effective coordination and decision-making.
Previously, I worked as a Member of Technical Staff at Oracle, where I developed ML-based log anomaly detection, automated bug detection, and large-scale recommendation systems.
Apart from my research, I am a professional badminton player. Badminton has instilled in me discipline, strategic thinking, and resilience—qualities that also translate into my research mindset. Beyond badminton, I enjoy playing and watching cricket.
I am currently on the job market for 2025 summer internships.
Contact Me
I am always open to discussing LLMs, RL, and engineering/science-related ideas. If you have an exciting idea, feel free to drop me an email. Also, if you’re up for a game of badminton or cricket, I’m always in—whether it’s playing or watching a great match!
news
Feb 06, 2025 | Selected as the recipient of the David Chang and Cecilia M. Chang Student Leadership Award |
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Aug 23, 2024 | Started a new position as Graduate Research Assistant under Prof. Siddharth Garg |
Aug 23, 2024 | Joined New York University for MS in CE! ![]() ![]() |
Mar 18, 2024 | Filed first ever US Patent |
Jul 07, 2021 | Joined oracle as Member of Technical Staff |
latest posts
Feb 13, 2025 | MLOps: Model Training at Scale |
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Feb 06, 2025 | MLOps: DevOps for ML systems |
Jan 30, 2025 | MLOps: Cloud Computing Definitions |
selected publications
- Detecting anomalies in log messages using code-derived message patterns to guide structured message classificationUS Patent, Mar 2024
- Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix DecompositionIEEE Transactions on Pattern Analysis and Machine Intelligence, Mar 2022
- ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in IndiaProceedings of the AAAI Conference on Artificial Intelligence, Jun 2022