Madhav Sharma

Chief AI Officer at Quiny

Madhav Sharmabuilds the system, then the audience.

I’ve shipped a machine learning model that runs entirely in the browser in 1.7 MB, and a lead engine that finds buyers in public data. I’ve also taken a startup’s new accounts from zero to 10,000 followers in 10 days, with no ad spend.

Animation: 483 public signals from one Morpheus run spiral into a single point, and 48 of them make it through as ranked leads. The point then branches into a network of people, one dot for every 25 of the more than 11,000 comments one Meela post drew.

Two modes

Build the machine, then find it a market

These aren’t two careers. Most of the work below needed both halves to get anywhere.

Selected work

Built, shipped and measured

All case studies
Experience

Five years, four tracks

Building, growing and operating ran side by side, alongside two degrees.

  1. BuildSystems, models and platforms
    1. QuinyChief AI OfficerJul 2026 to present
    2. BabyBrainLead engineerJun 2026 to present
    3. Axis Venture PartnersTechnical partner2025 to present
    4. MorpheusFounder2025 to present
  2. GrowAudiences and distribution
    1. Own distribution pagesDistribution systems builder2024 to present
    2. SlaySchoolHead of growthOct 2025 to Dec 2025
    3. MeelaHead of growthSep 2025 to Dec 2025
  3. OperateRunning companies
    1. AthenyxCOO and executive business partnerApr 2024 to May 2025
  4. StudyTwo degrees
    1. IIT MadrasBS, Data Science and Artificial Intelligence2023 to 2027 (expected)
    2. BTech, CSEBTech, Computer Science and Engineering2021 to 2025
Select a role for the details. Faded ends mean only the year is known.

Full experience

Contact

Have something that needs building and selling?

I like problems that need both halves: a system that has to work, and people who have to find it. Tell me what you’re working on.