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Abhishek.

BuildingAIproducts
people return to.

I'm Abhishek, Head of Product at SigIQ AI. I started out on BYJU'S early sales team, talking to users every day, and I was recommending features from those conversations before I had any analytics. Then I learned to back that instinct with data in Mixpanel and CleverTap, keeping users coming back on Android and iOS apps. At SigIQ that meant D7 retention up 9%, sessions from 1.5 to 12 minutes, and daily power users up 64×, from 50 to 3,200. I also founded DoubtClear AI, which Inc42 named one of its 30 Startups to Watch.

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02 / About

How I got here.

I judge a product by one thing: do people come back. I find out what to build by talking to users, and the numbers decide what stays.

I started in 2016 on BYJU'S early-stage sales team, then ran my own small IT company, WebsitesOfIndia, and later took products to the US market at WonksKnow and Mad Street Den. All of it meant talking to students, parents and buyers every day. I kept coming back from those conversations with ideas for what the product should do next. I was recommending features before I had any analytics to check them against.

Then I learned to check that instinct with data. At Basidia Learning I mapped user journeys in CleverTap on a consumer app with 25,000+ daily users, and the fixes lifted engagement 43% and moved conversion from 0.7% to 2%. Today I'm Head of Product at SigIQ AI, reporting to the CEO and owning the roadmap. Cohort analysis in Mixpanel showed where new users were dropping off, and rebuilding that stretch lifted D7 retention by 9%. A core feature took average sessions from 1.5 to 12 minutes, and habit loops and CleverTap re-engagement grew daily power users 64×, from 50 to 3,200, each averaging 14+ sessions a day.

Between Basidia and SigIQ I was a founder. I built DoubtClear AI, an AI study product on LLMs, document embeddings and a semantic search system over a RAG pipeline, with 90% ownership. I ran the discovery, shipped the product, built the team and owned the numbers, and Inc42 named it one of its 30 Startups to Watch. I still write my own specs and sit in on user calls.

0%

D7 retention lift at SigIQ AI

0×

Longer sessions from one feature

0×

Growth in daily power users

03 / Projects

Things I have shipped.

Two live products, both AI-built, both mobile-first, both running A/B experiments on real users right now. Full case studies and live demos on the dedicated page.

04 / Experience

A journey through product.

  1. SigIQ AI

    May 2025 to Present

    Head of Product

    I report to the CEO and own the product roadmap end to end. Cohort analysis showed where new users dropped off, and rebuilding that part of the funnel lifted D7 retention by 9%. I launched the core feature that took average sessions from 1.5 to 12 minutes, and designed the habit loops and behavioural triggers that grew daily power users 64×, from 50 to 3,200, each at 14+ sessions a day. I hacked WhatsApp Business Manager into a CleverTap-driven messaging system with load-balancing for number health, built the Mixpanel reporting the team decides from, and run AI agents that test the live app continuously so regressions surface before users hit them.

    +9% D7 Retention8× Session Length64× Power UsersCleverTapMixpanel
  2. DoubtClear AI

    Apr 2023 to Oct 2024

    Founder & CEO

    I founded DoubtClear AI with 90% ownership and built an AI academic product on LLMs and document embeddings, with a semantic search system on a RAG pipeline that I designed with the team. I did the customer discovery, set the roadmap, hired and led the team across engineering and design, and owned the numbers. Inc42 named DoubtClear AI one of its 30 Startups to Watch. Running it end to end is why I lead product like an owner.

    Founder0 → 1LLMsRAGInc42 30 to Watch
  3. Basidia Learning

    Aug 2022 to Apr 2023

    Head of Product & Business

    I owned product and business for a consumer learning app with 25,000+ daily active users. I mapped user journeys in CleverTap to find where people stalled, and the fixes lifted engagement 43% and moved conversion from 0.7% to 2%. I ran the experiment roadmap and worked directly with engineering, marketing and design on what shipped.

    25K+ DAU+43% Engagement0.7% → 2% ConversionExperimentation
  4. BYJU'S · WebsitesOfIndia · WonksKnow · Mad Street Den

    2016 to 2022

    Where I started

    I began in 2016 on BYJU'S early-stage sales team, building the consumer sales process and talking to students and parents every day. I then ran my own IT company, WebsitesOfIndia, delivering an ERP and data project for a veterinary hospital group and an e-commerce platform. Business development at WonksKnow and Mad Street Den followed, taking products to the US market, including a $500K pipeline that reached the CTO of Nike. Being that close to users, I was recommending features from what I heard long before I had analytics to check them. That's where I learned to hear what users mean, not just what they say.

    BYJU'S Early TeamClose to UsersFirst Company

05 / Competencies

The toolkit.

  • 01Product Strategy
    core
  • 02User Research
    core
  • 03Retention & Cohort Analysis
    core
  • 04Consumer Analytics (Mixpanel, CleverTap)
    core
  • 05Generative AI & LLMs
    core
  • 06Product Reliability Engineering
    core
  • 07RAG Pipelines
    applied
  • 08AI-Driven QA & Regression Testing
    applied
  • 09Growth Experimentation
    applied
  • 10Stakeholder Management
    applied
  • 11Figma & UI Design
    applied

06 / Honors

Selected milestones.

TEDx · Oct 2023

TEDx Speaker

Delivered the keynote 'Embracing AI Technologies in Education.' The talk made the case that generative AI fundamentally changes what one-to-one tutoring can mean at scale, and what that unlocks for product teams building learning tools.

Inc42 Media · 2023

30 Startups to Watch

Inc42 named DoubtClear AI, the company I founded, one of its 30 Startups to Watch. National recognition for the bet I took on AI-first academic search.

SigIQ AI · 2025

Product Excellence

Recognized for a +9% D7 retention lift, a core feature that took sessions from 1.5 to 12 minutes, and growing daily power users 64×, from 50 to 3,200. All three came from reading cohort data closely and shipping fast.