Ritesh Nayak

Resume

View on LinkedIn: linkedin.com/in/riteshmnayak

Founder @ Stealth

2024 - Present

  • Actively building multiple products and doing customer and market discovery.

2022 - 2023

Founding PM @ Avail - AI Co-pilot for Hollywood

  • Helped the founders build & launch an AI co-pilot for Hollywood studios & execs centered around creator IP working with OpenAI, Bard/Gemini, & Diffusion models.
  • Grew Avail’s creator base 10x in under 6mo to bootstrap the content side of the marketplace


Product @ Google

2015 - 2021

Product @ GMail

  • Led multiple engineering teams to help GMail pivot to Google Workspace - a productivity platform for the future of work supporting over XXX million daily users.
  • Grew GMail’s xBn/yr consumer monetization business across storage and ads.


Product @ Android

Led Android engineering teams building contextual/ambient computing features and APIs using sensors like GPS, Gyro, etc. for over 3B active devices.

Led the launch of Pixel’s first APK for ambient on-device AI for personalization in 2018.

  • Co-founded the Personal Safety app for Android piloting on Pixel(10mn+ users) establishing standards for the Android ecosystem. // Hero feature showcase.
  • Launched and helped setup Fast Pair to scale (seamless h/w pairing) to over 1bn+ Android devices.


Product @ Google Search

  • Launched several one-box search features for local information, search-quality improvements, and monetization initiatives on Search & Assistant.
  • Brought Holiday Hours information to Google Search and Maps responsible for reducing driving on Holidays by XX bn miles.


Founder @ muHive

2011 - 2014

muHive was a ML-powered Social CRM that helped over 50+ brands manage their customer voice on all forms of unstructured data. muHive was bootstrapped, later angel-funded, and part of the Target 🎯 accelerator program


Research intern @ Microsoft Research

2008 - 2009

Two graduate school internships at Microsoft Research in the Advanced development and prototyping team working on multiple research products in the area of Search & Collaboration.


Education

AI Alignment and Governance

  • Two 12-week graduate level courses on Technical AI alignment techniques and AI governance policy (2024-2025) from BlueDot.org a community run by AI safety researchers out of University of Cambridge.

Masters in CS from IIIT-Bangalore (2009)

  • Multi-agent modeling & theory - Evolutionary game theory, mechanism design, machine autonomy & ethics(early alignment work) &
  • Web Information Retrieval - focus on semantics extraction, algorithms & strategies for NLP & Text mining (text ML) under Prof S Srinivasa.
  • Economic and social impact of technology - an interdisciplinary course that included readings from the fields of ICT research, developmental economics, policy, technology, law, and sociology under Prof B Parthasarathy
  • Advanced Algorithms - Algorithms for distributed computing, and massively parallel data processing under Prof GNS Prasanna


Bachelors in CS

Majored in “Symbolic Systems” & Software Engineering - finite automata, context-free grammars, compilers, graph theory, & distributed computing.