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.

Sravanth Kodavanti

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.

Selected research

All publications →

Experience

  • Research Engineer Oct 2026 – Present

    AI model inference optimization on GPUs.

  • 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.

  • AI Research Intern Summer 2024

    Domain-specific enterprise search with knowledge graphs & RAG. Mentor: Dr. Manoj Agarwal.

  • Research Intern Spring 2024

    OCR models for text identification in pipeline-plant drawings. Mentor: Ankan Sengupta.

  • Research Intern Spring 2023

    Quantization and pruning of traditional and generative DL models. Mentor: Dr. C Shyam Anand.

Education