Sri Malireddi

Sri Malireddi

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Founder @ Moss (YC F25) | Fixing the retrieval bottleneck in Voice AI | <10ms search without vector databases
California, United States

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Résumé


Jobs verified_user 0% verified
  • Moss YC F
    Founder
    Moss YC F
    Sep 2025 - Current (1 year 1 month)
    - Building the retrieval layer for real time AI systems
    - Sub 10 ms search running on device, in browser, and at the edge
    - Replaces vector databases and eliminates network round trips
    - Deployed by enterprises serving 2,000+ end customers

    Working with Voice AI teams shipping production systems. Reach out if that’s you.
  • Grammarly
    Machine Learning Engineer
    Grammarly
    Nov 2023 - Sep 2025 (1 year 11 months)
    In my role as a Machine Learning Engineer at Grammarly, I spearheaded the development of cutting-edge systems for On-Device Personalization on the iOS Keyboard. Additionally, I led the optimization efforts for Spellchecker and Grammatical Error Correction LLMs on various on-device platforms, resulting in improved user experience and efficiency.
  • BrainStation
    Associate Instructor - Data Science
    BrainStation
    Jan 2020 - Apr 2021 (1 year 4 months)
  • Microsoft
    Senior Software Engineer
    Microsoft
    Jan 2018 - Nov 2023 (5 years 11 months)
    Microsoft Viva
    • Tech Lead - Viva Skills Management and API architecture, development of service and ML efforts spanning cross-geo teams in US and India.
    • Optimized the performance of Viva Skills ML algorithm by 900% and reduced the round-trip latency of Viva Skills API for batch inference scenarios from 62 seconds to
  • Udacity
    Udacity Mentor & Project Reviewer
    Udacity
    Apr 2017 - Dec 2017 (9 months)
    As a Udacity Mentor & Project Reviewer, I review student project submissions related to Virtual Reality Nanodegree (VRND), Learn ARKit (Unity & Swift) and guide the students throughout their nanodegree journey. The areas in which I provide mentorship and give project reviews include Virtual Reality, ARKit, Unity 3D, and Game Development.
Education verified_user 0% verified
  • I
    Bachelor’s Degree, Electrical Engineering
    IIT Gandhinagar
  • University of Victoria
    Master’s Degree, Computer Science
    University of Victoria
    - Implemented a large-scale structure-from-motion evaluation pipeline - https://image-matching-workshop.github.io/
    - Worked on semantic hand segmentation, detection and pose estimation from depth images. (using Random Forests and DNNs)
    - Developed an automatic dataset annotation pipeline for rapidly accumulating depth images with corresponding hand masks. (>40 FPS)
    - Investigated and prototyped various real-time deep learning inference pipelines for graphics applications. (Semantic segmentation of hands @ 200 FPS, SSD-Mobile Net Object Detection @ 13 FPS on iPhone 7)
    - Acted as a Graduate Teaching Assist
Projects (professional or personal) verified_user 0% verified
    Awards verified_user 0% verified
    • I
      Award for Outstanding Research (B.Tech)
      Issued by Indian Institute of Technology Gandhinagar
    This is a community-created genome.