About Me
Hi! Iām Rajashekhar, a PhD student at Harvard University, where I am advised by Prof. Minlan Yu. My research sits at the intersection of power and LLM inference.
Before starting my PhD, I was a Pre-Doctoral Research Fellow with the AI Infrastructure group at Microsoft Research India, where I was fortunate to collaborate with Debopam Bhattacherjee, Rohan Gandhi, and Anjaly Prayil on systems for machine learning and machine learning for systems.
Earlier, I was a member of the Future Generation Lab at IIT Dharwad, where I worked under the supervision of Koteswararao Kondepu. My work focused on problems at the intersection of networks and systems, including resource optimization for radio access networks (RAN), energy analysis across RAN generations, and UAV-based communication systems.
I was also selected as a Globalink Research Intern through MITACS, which gave me the opportunity to conduct research at Lakehead University, Barrie, Canada, with Shafiqul Hai. There, I worked on the intersection of FPGA and machine learning, implementing CNNs on FPGA to achieve ultra-reliable, low-latency, and energy-efficient inference.
I earned my B.Tech. in Computer Science and Engineering from IIT Dharwad in 2024. Outside of research, I enjoy playing badminton and maintaining a regular fitness routine.
You can find my CV here.
Recent News
- Sep 2026 XWind paper accepted at SoCC 2026
- Apr 2026 Joining Harvard as a PhD Student
- May 2025 Paper on AI Greenferencing on arXiv
- Jan 2025 BeLLMan paper accepted at FAISYS 2025
- Nov 2024 Two papers accepted at IEEE ANTS 2024
