Sravanth Kodavanti

Making AI models efficient for edge devices

I'm a Research Engineer at Samsung Research under the guidance of Dr. Srinivas Soumitri, where I work on optimizing AI models for edge device deployment. My expertise spans Neural Architecture Search, Quantization, and Pruning techniques to improve performance and efficiency across both traditional and generative AI models.

I completed my Bachelor's in Computer Science (with a minor in Entrepreneurship) at IIT Hyderabad in 2024. During my studies, I interned at Gika Graph, Hexagon Research, and OnePlus Research.

I maintain a list of my publications under the Research tab and am always open to collaborations. When I'm not working, I enjoy exploring films and web series from around the world — catch my reviews on Letterboxd. I also enjoy playing badminton to unwind.

ramasravanthkodavanti [at] gmail.com · k.sravanth [at] samsung.com · <-- CV · --> <-- Google Scholar -->

📰 Updates

• Apr 2026: 1 Paper accepted at ACL 2026
• Mar 2026: 3 Papers accepted at CVPR 2026 Workshops
• Feb 2026: NanoSD paper accepted at CVPR 2026
• Dec 2025: Reviewer for ICLR 2026 DeLTa workshop
• Nov 2025: Area Chair & Reviewer for ICASSP 2026
• Nov 2025: Reviewer for AAAI 2026 Responsible Synthetic Data workshop
• Sep 2025: Reviewer for NeurIPS 2025 LatinX in AI, BERT2S & DynaFront Workshop; Media
• Jul 2025: Reviewer for ICML 2025 AI4MATH Workshop & SciPy 2025 Proceedings
• Jun 2025: Reviewer for ACL 2025 Student Research Workshop
• May 2025: Reviewer for ACL 2025 REALM workshop; Media
• Dec 2024: 1 Paper accepted to ICASSP 2025
• Aug 2024: Started as Research Engineer at Samsung Research
• Jul 2024: Graduated from IIT Hyderabad with BS in CS & minor in Entrepreneurship