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💼 Current Role: Virtual Relationship Manager @ Aditya Birla Capital 🎯 Mission: |
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Open to AI Product Manager opportunities. Building production-ready AI products with measurable business impact. View Portfolio | Connect on LinkedIn
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🎯 Product Strategy End-to-end AI/ML product development from ideation to GTM execution 95% Product-Market Fit Score |
🏗️ Technical Depth Production-ready architectures with LangChain, RAG, and foundation models 90% Code Coverage Standard |
📊 Business Impact ₹100Cr+ AUM | 10% diversification boost via AI analytics 15% YoY Growth |
🌍 Social Mission Offline-first AI for underserved communities and rural markets $12B TAM Addressed |
🎯 Product Vision: Sovereign-by-design AI for government departments, 100% offline
💡 Innovation: Zero cloud dependencies, DPDP Act 2023 native governance
📊 Market Stage: Pilot-ready, District Collector deployment approved
🔧 Features: 95-98% OCR accuracy, Human-in-the-Loop review, modular scale (SQLite→PostgreSQL)
📈 Impact: Protecting citizen data sovereignty for 1B+ Indians
AI-Powered Character Consistency Platform
🎯 Product Vision: Solving critical character consistency in AI-generated imagery
💡 Innovation: Deterministic "Prompt Protocol Engine" for reproducible outputs
📊 Market Stage: Validation phase with creative professionals
🔧 Features: Multi-model fusion, progressive enhancement, version control
Privacy-First MSP Analytics Platform
🎯 Business Impact: $12B serviceable addressable market (SAM)
⚙️ Tech Stack: Python, FastAPI, Pandas, SQLAlchemy, TimescaleDB
📈 GTM Strategy: Product-led growth with freemium model
💰 Projections: $1M ARR target in Year 1
Offline Agricultural AI Assistant
🌾 Mission: AI-powered advisory for Indian farmers in low-connectivity regions
📱 Innovation: 100% offline operation with local RAG and P2P knowledge sharing
🎯 Target Market: 150M+ rural farmers with limited internet access
🔧 Architecture: On-device inference, local vector DB, mesh networking
AI-Powered Technical Interview Platform
🎯 Achievement: Multi-agent system with A2UI web interface (v4.7)
🔒 Architecture: Google ADK + A2A-ADK Bridge + Gemini 2.5 Flash
💼 Features: 6 specialist sub-agents, adaptive questions, code analysis
🏢 Enterprise Ready: Cloud Run deployment, session persistence
Offline-First Educational Platform
🌾 Mission: Democratizing quality education for rural India with 100% offline operation
📱 Innovation: Voice-first interface with Hindi/English support, WCAG 2.1 AA compliant
🎯 Target Market: 150M+ students in low-connectivity regions, 10M+ disabled learners
🔧 Architecture: PWA with IndexedDB, Service Workers, Web Speech API, <200MB footprint
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timeline
title Career Evolution: Finance → AI Product Leadership
2021 : Banking Sector Entry
: Relationship Management
: Client Portfolio Building
2022 : Senior RM Promotion
: 80+ HNI Clients
: 15% Above Target
2023 : AI Transition Begins
: IBM AI PM Certification
: First AI Project Launch
2024 : Aditya Birla Capital
: ₹100Cr+ AUM Management
: AI Product Portfolio
2025 : AI Product Leadership
: 4 Production Projects
: Google & DeepLearning.AI Certs
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🏢 Current: Aditya Birla Capital 📊 Key Achievements:
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🏦 Previous: Banking Sector 📈 Key Achievements:
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| Category | Technologies | Proficiency |
|---|---|---|
| 🤖 AI/ML |
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| 📊 Product |
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| ☁️ Cloud |
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| 🔧 Backend |
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| 📱 Frontend |
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| 🗄️ Data |
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flowchart TB
Start([🎯 Problem Discovery]) --> Research[📊 User Research]
Research --> Strategy[🏗️ Product Strategy]
Strategy --> Tech[⚙️ Technical Architecture]
Tech --> Sprint[⚡ Agile Development]
Sprint --> MVP[🚀 MVP Launch]
MVP --> Metrics[📈 KPI Tracking]
Metrics --> Optimize[🔄 Growth Optimization]
Optimize --> Iterate{Continue?}
Iterate -->|Yes| Research
Iterate -->|Scale| Scale[💰 Market Expansion]
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style Sprint fill:#DDA0DD,stroke:#2C3E50,stroke-width:2px,color:#2C3E50
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style Scale fill:#A8E6CF,stroke:#2C3E50,stroke-width:2px,color:#2C3E50
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🎯 Impact-First Build for underserved markets with measurable social and business outcomes |
📊 Data-Driven Every decision backed by KPIs, OKRs, and user analytics |
🔄 Agile Execution Sprint-based delivery with continuous stakeholder alignment |
💡 Technical Depth Product strategy combined with hands-on architectural expertise |
| Company | Role | Key Skills | Deliverables |
|---|---|---|---|
| Electronic Arts | Mobile Gaming Analytics | Product Analytics, A/B Testing, KPI Definition | Feature Roadmap, Monetization Strategy |
| JPMorgan Chase | Software Engineering | Java, Kafka, System Architecture | Real-time Pipeline, Performance Report |
| AWS | Solutions Architecture | Cloud Design, Cost Optimization, Security | Scalable Web App, Infrastructure-as-Code |
| Certification | Issuer | Date | Verification |
|---|---|---|---|
| 5-Day AI Agents Intensive Course | Kaggle / Google | Dec 2025 | Verify |
| Google People Management Essentials | Google / Coursera | Dec 2025 | Verify |
| Generative AI Leader (5 Courses) | Google Cloud / Coursera | Dec 2025 | Verify |
| IBM Product Manager (7 Courses) | IBM / Coursera | Oct 2025 | Verify |
| Introduction to User Experience Design | Georgia Tech / Coursera | Oct 2025 | Verify |
| Machine Learning | O.P. Jindal Global University / Coursera | Aug 2025 | Verify |
| Google AI Essentials (5 Courses) | Google / Coursera | Aug 2025 | Verify |
| Google Project Management (7 Courses) | Google / Coursera | Aug 2025 | Verify |
| Generative AI Software Engineering (4 Courses) | Vanderbilt University / Coursera | Aug 2025 | Verify |
| Introduction to Generative AI for Software Development | DeepLearning.AI / Coursera | Dec 2025 | Verify |
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timeline
title 2025 Product Development Timeline
section Q1 2025
CharacterCraft Pro : Market Validation
: Beta User Acquisition
: Product-Market Fit Testing
MoatMetrics : MVP Development Complete
: Beta Launch Preparation
: Early Adopter Outreach
section Q2 2025
CharacterCraft Pro : Public Launch
: Marketing Campaign
: Revenue Generation
KrishiSahayak : Field Testing Phase
: Rural Deployment
: Partnership Building
section Q3 2025
Enterprise AI Platform : Development Start
: Technical Architecture
: Pilot Customer Acquisition
Multi-language Support : Expansion to 5 Languages
: Localization Framework
section Q4 2025
Market Leadership : Consulting Services Launch
: Industry Conference Speaking
: Open-source Framework Release
Product Milestones:
Key Metrics:
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Product Milestones:
Key Metrics:
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Product Milestones:
Key Metrics:
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| 🚫 Traditional Approach | ✅ My AI Product Strategy |
|---|---|
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🎭 Feature Factory Mindset Building features without validation or business impact measurement |
🎯 Problem-First, Solution-Agnostic Deep user research, validated business impact, measurable KPIs driving every decision |
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☁️ Cloud-Only Deployment Assumes high-speed internet, excludes 60% of global population from access |
📱 Offline-First, Accessible Design 100% offline operation, P2P knowledge sharing, low-resource optimization |
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🤖 Generic AI Integrations OpenAI API wrappers with no domain-specific optimization or technical depth |
🔬 Domain-Specific Technical Depth Custom RAG pipelines, fine-tuned models, deterministic protocols, production architecture |
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🎨 Prototype Demonstrations Beautiful demos that break in production, no consideration for scale or deployment |
🏗️ Production-Ready MVP Delivery Docker-based deployment, CI/CD pipelines, monitoring, security hardening, documentation |
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📊 Standard GTM Strategies Target already-served markets with well-funded competitors and marginal differentiation |
🌍 Underserved Market Penetration Rural farmers, MSPs, emerging markets - $12B+ TAM with minimal competition |
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💼 Pure PM or Pure Engineer Either strategic with no technical depth, or technical with no business acumen |
🎯 Product + Technical Execution End-to-end ownership: strategy, architecture, implementation, GTM, growth |
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🎯 Unique Background Finance (4 years) → AI Product Rare combination of business acumen + technical execution |
🌍 Social Impact Focus Building for the 60% underserved by mainstream tech Mission-driven, profit-sustainable model |
🏗️ Technical Credibility Not just strategy docs - I build, deploy, and maintain production systems |
📊 Metrics-Driven Every feature tied to KPIs, every sprint measured, every decision data-backed |
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🌍 Democratizing AI Making AI accessible through open-source tools and educational content 
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📚 Knowledge Sharing Helping PMs transition into AI product roles through documentation & guides 
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🤝 Community Building Active in AI/ML communities, mentoring aspiring product managers 
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