Research Engineer
Sravanth Kodavanti
Research Engineer at Nava
I make AI models run fast and efficiently on GPUs. At Nava I work on inference optimization for large models; before that I spent two years at Samsung Research compressing LLMs, diffusion and image-restoration models for on-device deployment through neural architecture search, quantization, pruning and distillation. My work spans both the vision and language domains, with 10+ papers at venues like CVPR, ACL and ICASSP and two patents filed.
News
- Oct 2026 Joined Nava as a Research Engineer, working on AI model inference optimization on GPUs.
- Aug 2026 Started my MS in Computer Science (specialization in Computational Perception & Robotics) at Georgia Tech.
- Aug 2026 TOC-SR accepted as an Oral at the ECCV 2026 LoViF Workshop.
- Apr 2026 Our multi-LoRA on-device LLM paper accepted to ACL 2026 Findings.
- Mar 2026 3 papers accepted at CVPR 2026 Workshops — 2 Orals at Mobile AI, 1 Spotlight at WiCV.
- Feb 2026 NanoSD accepted to CVPR 2026.
- Dec 2025 Reviewer for the ICLR 2026 DeLTa Workshop.
- Nov 2025 Serving as Area Chair and Reviewer for ICASSP 2026.
- Nov 2025 Reviewer for the AAAI 2026 Responsible Synthetic Data Workshop.
- Sep 2025 Reviewer for NeurIPS 2025 workshops (LatinX in AI, BERT2S, DynaFront) — list.
- Jul 2025 Reviewer for the ICML 2025 AI4MATH Workshop and SciPy 2025 Proceedings.
- Jun 2025 Reviewer for the ACL 2025 Student Research Workshop.
- May 2025 Reviewer for the ACL 2025 REALM Workshop — proceedings.
- Dec 2024 Mobile-friendly image de-noising accepted to ICASSP 2025.
- Aug 2024 Joined Samsung Research (SRI-Bangalore) as a Research Engineer.
- Jul 2024 Graduated from IIT Hyderabad with a Bachelor's in CS and a minor in Entrepreneurship.
Selected research
All publications →
Experience
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Research Engineer Oct 2026 – Present
AI model inference optimization on GPUs.
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Research Engineer Aug 2024 – Sep 2026
On-device optimization of LLMs, diffusion and image-restoration models via NAS, quantization, pruning and distillation. Mentor: Dr. Srinivas Soumitri Miriyala.
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AI Research Intern Summer 2024
Domain-specific enterprise search with knowledge graphs & RAG. Mentor: Dr. Manoj Agarwal.
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Research Intern Spring 2024
OCR models for text identification in pipeline-plant drawings. Mentor: Ankan Sengupta.
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Research Intern Spring 2023
Quantization and pruning of traditional and generative DL models. Mentor: Dr. C Shyam Anand.
Education
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MS in Computer Science Aug 2026 – Present
Specialization: Computational Perception & Robotics
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Bachelor's in Computer Science Graduated 2024
Minor in Entrepreneurship · Thesis on continual learning for 3D point clouds with Dr. P K Srijith