cv

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General Information

Full Name Sai Narayan Sundaresan
Email saisundaresan01@gmail.com
Website https://saisundaresan01.github.io
Google Scholar https://scholar.google.com/citations?user=icwyFlQAAAAJ&hl=en
LinkedIn https://www.linkedin.com/in/sai-narayan-sundaresan/

Education

  • 2019 -- 2024
    Dual Degree (B.Tech, M.Tech), Industrial and Systems Engineering
    Indian Institute of Technology Kharagpur, India
    • {"GPA"=>"9.15/10.00"}
    • {"Micro-specialization"=>"Artificial Intelligence and Applications"}

Research Experience

  • Jun 2024 -- Present
    Research Associate – Adobe Inc. (Systems and Insights Group)
    Adobe Inc.
    • {"Mentors"=>"Dr. Subrata Mitra, Dr. Atanu Sinha, Dr. Shiv Saini"}
    • Worked on efficient systems for LLM serving and video generation via caching techniques
    • Published 2 papers and filed 3 patents; integrated innovations in 2 products
    • Selected for a session on world models at Adobe Tech Summit 2025
  • Jan 2024 -- May 2024
    Research Intern – Sarvam.AI
    Sarvam.AI
    • {"Mentors"=>"Prof. Pratyush Kumar, Dr. Vivek Raghavan"}
    • Built end-to-end tool creating guided audio lessons using custom speech pipelines
    • Deployed efficient ASR service using NVIDIA RIVA for low-resource languages
    • Trained expressive TTS models based on StyleTTS2
  • May 2023 -- Aug 2023
    Research Intern – Adobe Inc. (BigData Intelligence Lab)
    Adobe Inc.
    • {"Project"=>"Brand-guided Poster Generation"}
    • Built design creation tool using Custom Diffusion with product and brand references
    • Devised optimal multi-concept latent interpolation algorithm
  • Jan 2023 -- Apr 2023
    Data Engineering Intern – AI4Bharat, IIT Madras
    IIT Madras (AI4Bharat)
    • {"Mentor"=>"Prof. Mitesh M. Khapra"}
    • Collated ASR benchmarks across 12 Indian languages; created 10,736 hours dataset
    • Performed alignment with Needleman–Wunsch; finetuned Whisper achieving 4.1 WER reduction
  • May 2022 -- Jul 2022
    Machine Learning Intern – Honeywell Technology Solutions Lab
    Honeywell Technology Solutions Lab
    • {"Mentor"=>"Mr. Srikanth Viswaraju"}
    • Designed contextual search engine for flight manuals using BERT; 79.38% text / 54.69% tabular

Selected Projects

  • ongoing
    Efficient Video Generation through Patch Level Caching
    • Reuse intermediate states across similar patches via rectified flow interpolation.
  • 2025
    Efficient LLM Serving for RAG (Cache-Craft)
    • Chunk-cache decomposition and reuse; ~2.7× prefill latency reduction.
  • 2025
    Heterogeneity-Aware User Behaviour Prediction (HeTLM)
    • Clusterwise training showing small LMs better model subjective browsing behaviors.

Activities and Achievements

  • 2025
    • Mentored 6 undergraduate interns and collaborated with 1 PhD intern at Adobe
    • Best paper and merit awards at ORSI '24 and ICLST '24
    • Branch Rank 1 in Quality Engineering Design and Manufacturing (highest GPA)
    • Certificate of Merit for top rank in Computer Science, AISSCE 2019

Research Interests

  • ML + Systems for generative models
    • Efficient LLM serving and caching for RAG
    • Efficient video generation via computation reuse

Skills

  • {"Programming"=>"Python, C++, C, Triton"}
  • {"Frameworks"=>"vLLM, Transformers, Diffusers, PyTorch, Git"}