Sri Raghu Malireddi

Co-Founder

San Francisco, California, United States9 yrs experience

AI ML PractitionerHighly Stable

Key Highlights

Founder of Moss, delivering sub-10ms semantic search.
Led optimization of ML algorithms at Microsoft, reducing latency by 900%.
Experienced in developing on-device AI solutions for major enterprises.

Stackforce AI infers this person is a SaaS expert with a focus on AI-driven solutions and operational excellence.

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Skills

Core Skills

Generative AiNatural Language Processing (nlp)Machine Learning

Other Skills

Rust (Programming Language)Large Language Models (LLM)Technical LeadershipMicroservicesC#Microsoft AzureDatabasesDistributed CachingOperational ExcellenceDeep LearningPython (Programming Language)API DevelopmentC++PythonComputer Graphics

About

Moss builds sub-10ms semantic search that runs on-device and in-browser - no cloud round-trip required. Most Voice AI teams hit a wall with search latency, infra cost, and reliability the moment they try to scale. Moss eliminates that bottleneck. Built for voice agents, support bots, sales assistants, and real-time conversational AI. → Sub-10ms on-device search in production → Deployed by enterprises serving 2,000+ end customers If you're shipping a production voice agent and need search that actually keeps up - DM me.

Experience

9 yrs

Total Experience

2 yrs 9 mos

Average Tenure

8 mos

Current Experience

Moss (yc f25)

Founder

Sep 2025 – Present · 8 mos · San Francisco Bay Area

Building on-device LLMs + vector index for real-time semantic search - no cloud dependency, no round-trip latency
Sub-10ms search latency on-device and in-browser, deployed by enterprises across 2,000+ end customers
Looking for Voice AI teams shipping production agents - reach out if that's you

Generative AIRust (Programming Language)Large Language Models (LLM)Natural Language Processing (NLP)Technical LeadershipMicroservices+9

Grammarly

Machine Learning Engineer

Nov 2023 – Sep 2025 · 1 yr 10 mos · San Francisco Bay Area

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.

C++Machine Learning

Brainstation

Associate Instructor - Data Science

Jan 2020 – Apr 2021 · 1 yr 3 mos · Greater Vancouver Metropolitan Area

Microsoft

Senior Software Engineer

Jan 2018 – Nov 2023 · 5 yrs 10 mos · Vancouver, British Columbia and Redmond, Washington

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 <0.1 seconds.
Delivered Operational Excellence by implementing systems for Logging, Telemetry, Dashboards, Testing and Active/Passive Monitoring.
Provided Architectural guidance and developed systems for Backend Services - REST API Components, database, caching, authentication, logging and partner teams onboarding.
Technical Mentorship for early-in-career engineers and onboarding buddy for Senior engineers.
Project Vienna
Applied research and product development in the areas of Machine Learning, NLP, RPA and Software Engineering.
Tech Lead - Led a team of 4 developers from prototyping to production stage of training and deploying Bert-based NLP models for intent and entity recognition for task automation and intelligence. Developed libraries and tools to perform automations on Android.
Developed and shipped NLU models and ML SDK in Microsoft ToDo, Bing Ads and Microsoft Authenticator.
Developed Autofill SDK to perform automations involving web navigation and form filling scenarios.
Technical Mentorship including work on internship programs and responsible for interviewing and evaluating candidates at all levels.
Office Media Group
Worked on optimizing object detection deep learning models for real-time inference.
Shipped object detection based Smart Trim feature in Microsoft PowerPoint Design Ideas.
Led the project on Video Intelligence features in Microsoft Stream and PowerPoint.
Mixed Reality Viewer
Tracking (SLAM / VIO) in Mixed Reality Viewer, Optimization, Rendering, On-Device Machine Learning

C++PythonMachine LearningNatural Language Processing (NLP)

Udacity

Udacity Mentor & Project Reviewer

Apr 2017 – Dec 2017 · 8 mos

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.