Welcome!
The beauty of math, science, and technology lies in their endless possibilities. Every problem is an invitation to explore, learn, and innovate.
About me
I am a machine learning scientist and a Ph.D. candidate in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. My research lies at the intersection of machine learning, optimization and control systems.
Key Projects
- Automating Safe Reinforcement Learning (AIRC Research)
- Safe and Robust Prompt Tuning of Foundation Models(AIRC Research)
- Off-Policy Evaluation for Safe Offline Reinforcement Learning using Offline Datasets (IBM Research)
- Probabilistic Low-Rank Adaptation (LoRA) for Large Language Models
- Machine Learning for Bi-Linear Flow Models
- Ensuring Safety in Multimodal Machine Learning Models
Education
- B.Sc: Electrical & Electronics Engineering - First Class Honours, Valedictorian
- M.Sc: Computer & Systems Engineering - Distinction
- Ph.D: Electrical, Computer, & Systems Engineering (2021 - Present)
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- 🎉 November 2025 - Presented two of our works on Graph Based Learning for IAQ in complex Indoor Environments at ACM BALANCE and ACM BUILDSYS.
- 🏆 October 2025 - Honored to receive the 2025 Graduate Teaching Excellence Award at Rensselaer
- 🏆 April 2025 - Honored to receive the Dr. Alireza Seyedi ’99, ’04 Award at Rensselaer
- 🎉 October 2024 - Thrilled to announce I’ve passed the Doctoral Candidacy Examination!
- 🏆 October 2024 - Honored to receive the prestigious ACM SIG Travel Grant Award.