Madhav Sharma

Experience

Most of this happened at the same time. I started building data systems for clients during my first year of university and kept two degrees going alongside.

  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
Each bar is a role or degree. Faded ends mean only the year is known; hatching is still to come.

Roles

  1. Jul 2026 to present

    New York, United States, remote

    Chief AI Officer, Quiny

    I lead AI at Quiny, an AI app builder based in New York. The work is proprietary, so it isn't written up on this site.

  2. Jun 2026 to present

    Singapore, remote

    Contract

    Lead engineer, BabyBrain

    I built BabyBrain's marketplace platform from its first commit and was its only engineer for the first ten weeks.

    • Payments in both directions with Stripe and Stripe Connect, from class packages and credits to vendor payouts.
    • An LLM pipeline that turned vendor websites into 66 claimable listings, refreshed weekly.
    • A full codebase audit that found 21 issues, seven critical, all fixed and verified against the running database.

    Case study: BabyBrain

  3. 2025 to present

    Remote, remote

    Partner

    Technical partner, Axis Venture Partners

    Technical partner on an FP&A automation product built with the firm's partners, for CFOs, finance directors and scale-up founders who still report out of spreadsheets. I'm responsible for the technical architecture and delivery.

    • Built a schema-agnostic reporting engine that turns any CSV or Excel export into a variance report with charts and a PDF, with no per-dataset configuration.
    • Designed the financial data pipeline around ingestion, variance analysis and automated reporting.

    Case study: Universal Financial Reporting Engine

  4. 2025 to present

    Bhubaneswar, India

    Founder

    Founder, Morpheus

    I'm building a system that identifies companies preparing to buy, from public signals such as hiring, leadership changes and transformation announcements, instead of static job-title filters.

    • Designed a seven-stage pipeline covering signal collection, LLM scoring, recency decay, company clustering, ideal-customer validation, decision-maker identification and ranked export.
    • Configured for six European markets with English, French and German query sets; runs so far cover the UK, Ireland and Luxembourg.
    • Every lead carries a verbatim quote of the evidence that triggered it, and every rejected row goes into a per-stage rejection log.

    Case study: Morpheus

  5. 2024 to present

    Bhubaneswar, India

    Independent

    Distribution systems builder, Independent

    I built and run faceless short-form pages designed to reach cold audiences, treated as infrastructure rather than content.

    • 25.9 million views in 30 days with no ad spend, 92 percent from new audiences.
    • A single piece passed 17 million views, 99.9 percent of them from non-followers.
    • Grew owned pages past 100,000 followers through organic distribution.
    views in 30 days, no ad spend
    25.9M
    Self-reported
    of views from new audiences
    92%
    Self-reported
    views on a single piece
    17M+
    Self-reported

    Case study: Short-form distribution systems

  6. Oct 2025 to Dec 2025

    United States, remote

    Head of growth, SlaySchool

    I worked directly with the founder to build SlaySchool's early growth system around short-form distribution and a creator team.

    • Built an end-to-end content pipeline that the team adopted as its standard operating procedure.
    • Generated roughly 7 million views within two weeks and grew the audience by 8,000 followers during early campaigns.
    • Managed 10 to 15 creators and coordinated the distribution pipeline across them.
    views in two weeks
    7M
    Self-reported
    followers gained
    8,000
    Self-reported

    Case study: Short-form distribution systems

  7. Sep 2025 to Dec 2025

    United States, remote

    Head of growth, Meela

    I joined as a creator and was promoted to UGC lead and then head of growth within six weeks, running the content strategy and creator team.

    • Took new accounts from zero to 10,000 followers in 10 days, with 3.5 million views and no ad spend.
    • One piece drew more than 11,000 inbound comments; I built comment-triggered DM automation to turn them into conversations.
    • Led more than 10 UGC creators and defined the content strategy and KPI framework, for roughly three times the view growth across accounts.
    followers in the first 10 days
    10,000
    Self-reported
    views in the first 10 days
    3.5M
    Self-reported
    comments on a single piece
    11,000+
    Self-reported

    Case study: Meela: 10,000 followers in 10 days

  8. Apr 2024 to May 2025

    Paris, France, remote

    COO and executive business partner, Athenyx

    Functional COO during my first year of university. I owned operations, risk frameworks and strategic planning, and prepared the data for the company's ML training pipeline.

    • Owned day-to-day operations, risk frameworks and strategic planning.
    • Extracted, cleaned and prepared data for an ML model training pipeline.

Education

  1. 2023 to 2027 (expected)

    Chennai, India

    BS, Data Science and Artificial Intelligence, Indian Institute of Technology Madras

    Expected 2027.

  2. 2021 to 2025

    Jharsuguda, Odisha, India

    BTech, Computer Science and Engineering, Black Diamond College of Engineering and Technology

    Major project: Corporate Hand Gesture Recognition System.

What I work with

Languages
Python, TypeScript, JavaScript, SQL
AI and ML
LLM classification and extraction, evaluation design, TensorFlow and TensorFlow.js, MediaPipe, scikit-learn
Data
Web data acquisition at scale (Apify, BeautifulSoup), entity resolution, pandas, ETL pipelines, Postgres and Supabase
Web
React, Next.js, Vite, Vercel
Growth
Organic short-form distribution, creator programmes, comment-to-DM automation
Markets
Germany, Austria, France, Switzerland, Ireland, Luxembourg, the Netherlands, the UK, the US and India

Profiles: LinkedIn, GitHub