AI Product Manager
Tailored for AI Product, Technical Product Manager — AI, and Product Builder roles.
Summary
Product-minded builder who designs and ships AI-native systems across commerce, mobility, and GTM. I connect product strategy, data models, AI automation, and user workflows into working systems. Comfortable going from business problem → architecture → implementation → launch.
Flagship: HYPR Fleet OS
Full-stack EV fleet operating system — fleet management, rider onboarding, KYC, vehicle workflows, Data Harness, AI automation, WhatsApp operations, document processing.
Fleet Ledger
Organization → Fleet → Hub → Zone → Vehicle → Rider → Applications → Rentals → Payments → Trips → Bookings → ServiceIssues → Evidence → Documents → Communications → FleetEvents → AuditEvents
Data Harness
SOURCE → IDENTITY → SCOPE → CLASSIFICATION → VALIDATION → PERMISSION → AI POLICY → ACTION → AUDIT → LEDGER. Every WhatsApp message gated.
Rider Onboarding
7-step wizard: Phone → KYC → Eligibility → Vehicle → Plan → Agreement → Payment → Assignment. Writes to Supabase, R2 storage.
AI Operations
Operational data → AI context → signal detection → recommendation → approval → action. human-in-the-loop approval for HIGH risk.
Other AI/Product Systems
Vridhi Company Intelligence OS
Company Memory → Data Fabric → AI Context → Recommendations → Approvals → Execution. Enterprise intelligence layer.
Mera Commerce OS
Commerce data, storefront/admin, orders, inventory, CRM, payments, analytics, AI operator, integrations, marketplace.
AI Policy & Permission Engine
User → Role → Data Scope → AI Scope → Allowed Actions. Enterprise AI governance layer.
AI Action & Approval Layer
AI assistant vs AI operator: identify → propose → approval → execute. Human-in-the-loop governance.
Architecture
┌───────────────────┐
│ USER CHANNELS │
│ Web / WhatsApp │
└─────────┬─────────┘
↓
┌───────────────────┐
│ ORCHESTRATION │
│ Cloudflare │
└─────────┬─────────┘
↓
┌───────────────────┐
│ INTELLIGENCE │
│ LLM / AI │
└─────────┬─────────┘
↓
┌───────────────────┐
│ MEMORY │
│ Supabase / Data │
└─────────┬─────────┘
↓
┌───────────────────┐
│ ACTIONS │
│ APIs / workflows │
└───────────────────┘Technical decisions
Why Cloudflare Workers?
Edge execution, lightweight APIs and integration with the existing data layer.
Why LLM inference?
Low-latency inference for real-time AI classification and recommendations.
Why Supabase?
Structured operational data, authentication and relational querying. RLS for scoped access.
Proof
Skills
Product
Product Strategy, Technical PM, User Journey Design, MVP Design, Product Discovery, Productization, Product Roadmaps, PRDs, User Stories, Stakeholder Management
AI
AI-native workflows, Agentic systems, LLM API integration, RAG / retrieval, AI memory, AI permissions, Human-in-the-loop, Data Pipeline Design
Engineering
Next.js, React, TypeScript, PostgreSQL, Supabase, Cloudflare Workers, Queues, R2, Vercel, REST APIs
Infrastructure
Cloudflare R2, Queues, Workers, Containers, WhatsApp API, LLM inference, Vercel, Supabase RLS
Experience
Product Builder — Vridhi Labs
2023 – Present • Hyderabad
Designed and built HYPR Fleet OS (full-stack EV fleet operating system), Vridhi Company Intelligence OS, Mera Commerce OS, AI Policy Engine, AI Action Layer. Shipped rider onboarding, KYC automation, WhatsApp operations, Fleet OS dashboard.
Marketing Associate — MediaMint
2021 – 2023 • Hyderabad
Built lead routing logic, nurture sequences, campaign operations infrastructure. Treated marketing as engineering problem.
Digital Marketing Manager — Techtonic
2014 – 2020 • Hyderabad
Grew inbound leads 3x. Established baseline conversion measurement and analytics frameworks.
Proof
4
AI systems shipped
3
Live products
7-step
Onboarding wizard