Product Management × AI × Generative AI

Abhijit Jadhav

Product ManagerAI/ML & Generative AI Specialist

I build AI-powered products, automation systems and data-driven solutions that solve real business problems.

Product
Discovery → PRD → Launch
AI
LLMs, ML & Automation
Impact
₹6 Cr revenue contribution
Explore My WorkDownload Resume
Connect LinkedIn GitHubjadhavabhijeet002@gmail.com
Abhijit Jadhav — professional profile photo

Product · AI · Data

Abhijit Jadhav

48
Team led
₹6 Cr
Revenue
4+
Industries

About

About Me

I'm Abhijit Jadhav, a Bengaluru-based Product Manager who operates at the intersection of product, data and AI. I identify problems, understand users, apply AI and technology, ship products and measure outcomes — turning complex business challenges into scalable, user-centric solutions.

  • AI & Generative AI

    Building AI-powered products, LLM applications and automation systems.

  • Product Strategy

    Discovery, roadmaps, PRDs and prioritization grounded in user needs.

  • Data-Driven Decisions

    Product analytics, experimentation and measurable business impact.

  • Cross-functional Leadership

    Leading 48-member teams across product, engineering, operations and business functions.

Timeline

Career Journey

From aerospace and defence engineering to leading AI-powered product at scale.

  1. Jul 2020 – Apr 2021

    HAL

    Aeronautical Engineer — Internship

    Aerospace systems & engineering rigor

  2. Jul 2021 – Jun 2022

    DRDO

    Junior Scientist

    Defence R&D, mission-critical systems

  3. Jul 2022 – Sep 2022

    Cognizant

    Software Engineer

    Full-stack development & delivery

  4. Sep 2022 – Jun 2023

    Cognizant

    Business Analyst

    Enterprise IT, stakeholder requirements

  5. Jul 2023 – Jul 2024

    Duroflex

    Assistant Manager – Sales Operations

    Sales operations & processes

  6. Aug 2024 – Present

    Masai

    Manager – Product Management

    AI/ML, GenAI, LMS at scale

Impact Metrics

5

LMS Initiatives Led

48

Team Members Managed

₹6 Cr

Revenue Contribution

4+

Industries

Experience

Professional Experience

    • Leading 5 major LMS product initiatives focused on transforming user experience, resulting in improved engagement and learning outcomes.
    • Managing a 48-member cross-functional team across product, engineering, operations and business functions.
    • Contributed to ₹6 Cr revenue through strategic product decisions, feature prioritization and GTM.
    • CRM–LMS integrations streamlined sales operations and improved conversion rates by 30%.
    • AI and automation initiatives reduced manual workflows by 40%.
    • Conducting Product Discovery workshops, roadmap planning and data-driven decision making using analytics.

    • Supported sales operations processes across a consumer products business.
    • Coordinated with sales, operations and business teams to keep processes running smoothly.
    • Used data and reporting to track performance and support decision-making.
    • Maintained operational documentation and cross-team communication.

    • Converted stakeholder requirements into technical solutions.
    • Bridged technical and business teams.

    • Built full-stack MERN applications.
    • Worked within Agile delivery processes and QA cycles.

    • Worked on research and defence projects in a high-security environment.
    • Applied analytical thinking and structured problem solving.
    • Created technical documentation.
    • Worked with mission-critical systems requiring precision, compliance and quality.

    • Worked with aerospace systems and engineering processes.
    • Created and maintained technical documentation.
    • Worked with experienced engineers on complex technical systems.
    • Developed engineering rigor, safety awareness and structured problem solving.

Selected Work

Featured Projects

Products built around a clear problem, an explainable solution and a measurable outcome.

  • Project 01 · AI Product

    AI Lead Conversion Engine

    Problem
    Sales teams struggled to prioritize leads effectively.
    Solution
    An AI/SOP-based lead prioritization and conversion framework that scores and routes leads.
    AI / Logic
    • Engagement scoring
    • Intent scoring
    • SOP nudges
    • Automated follow-up triggers
    Impact
    • Improved lead-to-enrollment conversion and reduced manual lead triage.
    AI Lead ScoringAutomationConversionSOP Framework

  • Project 02 · Internal Product

    Incentive Management Platform

    Problem
    Manual and error-prone incentive calculations created low transparency.
    Solution
    Centralized weekly, spot, kicker and retention incentives with automated calculations and leaderboards.
    Technology / Logic
    • Rules engine
    • Automated calculations
    • Real-time leaderboards
    • Retention tracking
    Impact
    • Improved visibility and motivation while reducing manual operational overhead.
    IncentivesLeaderboardsAutomationAnalytics

  • Project 03 · Data Product

    Counselling Analytics Platform

    Problem
    Counselling conversations contained valuable signals but were largely unstructured.
    Solution
    Analytics platform for understanding intent, conversion probability and follow-up opportunities.
    AI / Technology
    • NLP-driven interaction analysis
    • Intent analysis
    • Conversion probability
    • Coaching insights
    Impact
    • Improved coaching, follow-up prioritization and management visibility.
    NLPAnalyticsConversion ProbabilityCoaching

  • Project 04 · AI Product

    AI-Powered Learning Automation

    Problem
    Manual learning workflows and lack of personalization.
    Solution
    Intelligent recommendations, automated grading and predictive analytics.
    AI / Technology
    • ML recommendations
    • Predictive analytics
    • Personalized learning paths
    • Workflow automation
    Impact
    • Reduced manual workflows by 40% and improved engagement.
    AI/MLRecommendationsPredictive AnalyticsAutomation

  • Project 05 · Integration Product

    CRM–LMS Integration Platform

    Problem
    Sales and learning systems operated in silos.
    Solution
    Automated synchronization and workflow orchestration between CRM and LMS.
    Technology
    • API integration
    • Data pipelines
    • Workflow automation
    Impact
    • 60% reduction in manual data entry
    • 30% improvement in conversion
    • ₹6 Cr revenue contribution
    CRM IntegrationAutomationRevenue Impact

  • Project 06 · Startup Vision

    Modern Farming Platform

    Problem
    Urban consumers lack transparent access to sustainable farming, while farmers lack data-driven guidance.
    Solution
    A B2C AgriTech platform connecting consumers and farmers through farm-to-table traceability, subscriptions and community.
    Technology
    • AI insights
    • IoT monitoring
    • Data-driven farming guidance
    Status
    • Product Discovery & Planning Phase
    AgriTechAI InsightsIoTProduct Vision

Deep Dives

Case Studies

How I think through a problem end-to-end — from discovery to measurable outcome.

Case Study 01

AI Lead Conversion Engine

Problem
  • High lead volume with no effective prioritization.
Users
  • Sales counsellors
  • Team leads
  • Revenue operations
Discovery

Analyzed:

  • Engagement
  • Response times
  • Historical conversion patterns
Solution
  • AI/SOP-based prioritization, scoring, routing and nudging.
AI / Technology
  • Engagement data
  • Intent data
  • Automated SOP follow-ups
  • Lead routing
Product Decision
  • Prioritized transparency and explainability over a completely black-box model.
Outcome
  • More consistent follow-ups
  • Higher conversion
  • Reduced manual triage

Case Study 02

CRM–LMS Integration

Problem
  • Sales and learning systems were siloed.
Users
  • Sales
  • Operations
  • Product
  • Finance
Discovery
  • Mapped the complete lead-to-learning journey and identified manual handoffs.
Solution
  • Automated synchronization and workflow orchestration.
AI / Technology
  • API integrations
  • Data pipelines
  • Workflow automation
Outcome
  • 60% less manual data entry
  • 30% improvement in conversion
  • ₹6 Cr revenue contribution
Product Decision
  • Used incremental automation instead of a risky big-bang migration.

Philosophy

How I Think About AI Products

I'm an AI Product Manager — I identify problems, understand users, apply AI and technology, ship products and measure outcomes.

  1. 01

    01 — Discover

    Understand the user and business problem through research, data and discovery workshops.

  2. 02

    02 — Design

    Create PRDs, user flows and measurable product requirements.

  3. 03

    03 — Build

    Apply AI, automation and technology to create scalable and reliable solutions.

  4. 04

    04 — Measure

    Use data and experimentation to improve products and prove business outcomes.

Product Management → AI → Data → Technology → Business Impact

Capabilities

Skills

A product toolkit spanning strategy, delivery, analysis and hands-on technology.

Product Management

  • Product Strategy
  • Roadmap Planning
  • OKRs & Metrics
  • User Research
  • Feature Prioritization
  • Go-to-Market

Program Management

  • Agile/Scrum
  • Stakeholder Management
  • Cross-functional Leadership
  • Process Optimization
  • Risk Management
  • Team Coordination

Business & Analysis

  • Business Analysis
  • Requirements Gathering
  • Data Analysis
  • Market Research
  • Competitive Analysis
  • Business Cases

Technical Skills

  • MERN Stack
  • React
  • Node.js
  • MongoDB
  • Express
  • Full-Stack Development

AI & Automation

  • AI Product Development
  • Automation Tools
  • Data-Driven Products
  • ML Integration
  • Product Analytics
  • AI Strategy

Collaboration & Tools

  • Jira
  • Confluence
  • Figma
  • Miro
  • SQL
  • Product Analytics Tools

Background

Education & Certifications

  • MBA — Distance Learning

    IIM Mumbai

  • Product Management with Generative & Agentic AI

    BITSoM — 2024

  • Minor in AI & Data Science

    IIT Mandi — 2023–2024

  • Foundations in AI & ML Program

    IIT Patna — Vishlesan i-Hub — 2025

  • B.E. Aeronautical Engineering

    Priyadarshini College of Engineering, Nagpur — 2017–2021

Awards

  • 2023

    Best Employee Award

  • 2024

    Best Employee Award

  • 2025

    Emerging Manager Award

Startup Vision

Modern Farming Platform

A B2C AgriTech platform designed to connect urban consumers with sustainable farming while helping farmers and landowners use technology, AI, automation and data-driven practices.

Vision: Build a technology-driven modern farming ecosystem that assists farmers and landowners through online and offline guidance, sustainable agriculture practices and new revenue opportunities.

Currently in Product Discovery & Planning Phase

Features

  • AI-Powered Insights
  • IoT Monitoring
  • Data-Driven Farming
  • Community Support
  • Modern Agri Practices

Business Model & Positioning

  • Farm-to-Table
  • Subscription Model
  • Community Driven
  • Sustainability

Contact

Let's Build Something Intelligent

I'm interested in building AI-powered products, solving complex business problems and working at the intersection of product, data and technology.

Download Resume