About Madhav
I build technical systems and the distribution that gets them used, and I care most about the part of each that decides whether it actually works.
How I got here
I studied Computer Science and Engineering at Black Diamond College of Engineering and Technology in Odisha, and in 2023 started a second degree, a BS in Data Science and Artificial Intelligence at IIT Madras. Most of what is on this site happened alongside those two degrees.
I started on both sides at once. In 2024 I became functional COO and executive business partner at Athenyx, an early-stage company in Paris, where I ran operations, risk frameworks and planning and prepared the data for its ML training pipeline. The same year I built faceless short-form pages that reached 25.9 million views in 30 days with no ad spend.
In late 2025 I took that into two US startups. At Meela I went from creator to head of growth in six weeks, and new accounts reached 10,000 followers in 10 days. At SlaySchool I built the content pipeline the team adopted as its standard process.
In 2026 the engineering side took most of my time: Morpheus, a lead engine that finds buyers in public data; a schema-agnostic reporting engine as technical partner with Axis Venture Partners; Corporate Signal Translator, a gesture classifier that runs in the browser in 1.7 MB; the BabyBrain marketplace, built from its first commit; and Raven, an SEO and AI-search agent that can only report what it can cite.
Today I am Chief AI Officer at Quiny, an AI app builder based in New York.
How I work
- Deterministic first, model last
- If something can be computed, matched or validated in code, it should be, before a model is involved. My reporting engine computes every figure without one.
- Gate the output, not just the input
- Model output goes through explicit checks before anyone acts on it. In Corporate Signal Translator, a small decision layer made a flickering classifier usable without retraining it. In Raven, a finding without a source never reaches the report.
- Treat distribution like engineering
- Repeatable formats, measurement on every piece, and a path from attention to conversation. At Meela, a post with 11,000 comments became direct conversations through comment-triggered DMs.
- Say what is not known
- Numbers on this site are marked by whether they can be checked, and each case study ends with what I would do differently.
Education
BS, Data Science and Artificial Intelligence
Indian Institute of Technology Madras, Chennai, India
2023 to 2027, expected
BTech, Computer Science and Engineering
Black Diamond College of Engineering and Technology, Jharsuguda, Odisha, India
2021 to 2025
Short bio
Madhav Sharma is Chief AI Officer at Quiny, an AI app builder based in New York, and works from Bhubaneswar, India. He builds technical systems, including a machine learning model that runs entirely in the browser, a lead engine that finds buyers in public data and a two-sided marketplace platform, and he grows audiences: he took a US startup’s new accounts to 10,000 followers in 10 days with no ad spend. He studies Data Science and Artificial Intelligence at IIT Madras.
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