AI-Native Product Manager | 3.5+ Years Experience | GenAI, Fintech, B2B SaaS

I’m an AI-native Product Manager and builder with 3.5+ years of experience designing and scaling products across B2B Fintech, B2C SaaS, B2B Marketplaces, and real-time operations platforms — operating in high-stakes environments where reliability, compliance, and decision accuracy matter. I don’t treat AI as a feature layer. I build AI decision systems — where AI doesn’t just suggest, it decides. My work focuses on production-grade AI architecture: confidence scoring, escalation logic, hallucination mitigation, human-in-the-loop workflows, audit trails, and continuous evaluation loops — ensuring every decision is measurable, explainable, and improvable over time.

What I’ve Built & Scaled

• 0 → 1 & 1 → 10 Product Builder
  • Built multiple products from idea to launch, owning the entire product lifecycle — from discovery, PRDs, system design, and API contracts to GTM and post-launch optimization
  • Define success metrics before writing a single user story — aligning execution with business outcomes from day one
• B2C SaaS (Thryl)
  • Scaled product from 0 to 150K+ users
  • Improved D30 retention by 25%, reduced time-to-first-value by 40%, and increased DAU by 30%
  • Built AI-powered support and ops systems, reducing manual workload by 60%
  • Led end-to-end GTM, onboarding optimization, and growth experimentation
• B2B Fintech (Kredyble)
  • Owned full transaction lifecycle: authorization → retry → failure → reconciliation → settlement
  • Designed payment orchestration, compliance systems (RBI), audit trails, and risk-aware decision logic
  • Built API contracts, failure handling systems, and reconciliation frameworks for high-volume financial workflows
  • Balanced speed, compliance, and reliability in a regulated environment
• B2B Marketplace (OfficeBanao)
  • Built multi-party platform architecture connecting vendors, contractors, and enterprise buyers
  • Introduced AI decision logic in lead qualification and operations, improving conversion efficiency
  • Launched SLA monitoring dashboards (45%+ adoption) and reduced payout turnaround by 30%
• Real-Time Ops (EV Fleet Platform)
  • Designed platform managing 200+ assets with live telemetry, SLA monitoring, anomaly detection, and automated payouts
  • Built systems for time-critical decision-making and exception handling

AI & Agentic Systems I’ve Shipped

• AI Mapping Copilot
  • RAG-adjacent system with confidence scoring, explainable outputs, and audit governance
  • Built evaluation frameworks (override rate, false confidence, calibration metrics)
  • Every AI decision is traceable, auditable, and overridable
• Agentic Lead Qualification System
  • Multi-step LLM reasoning with ICP scoring, sentiment-aware follow-ups, and human override controls
  • Modular architecture built using n8n, enabling scalable experimentation

How I Work

• AI-first thinking: Systems that decide, not assist
• Metrics-first execution: KPIs defined before development begins
• System design mindset: APIs, workflows, and edge cases thought through upfront
• 0 ambiguity execution: PRDs, acceptance criteria, and failure states clearly defined
• High ownership: From idea → launch → scale → optimization

Core Skillset

AI & GenAI Systems: Agentic architecture, RAG systems, confidence scoring, guardrails, hallucination mitigation, evaluation loops, prompt engineering, n8n automation Product Management: 0→1 development, end-to-end lifecycle ownership, PRDs/BRDs, roadmap, OKRs/KPIs, agile execution Fintech & Platforms: Payment systems, API design, reconciliation, compliance (RBI), multi-party marketplace systems Growth & Analytics: Funnel analysis, cohort retention, A/B testing, KPI tracking, GTM strategy Tools: Claude, ChatGPT, Gemini, n8n, Postman, Figma, JIRA, Mixpanel, Amplitude

Positioning

I operate at the intersection of: → AI-native products → Fintech infrastructure → Scalable SaaS & marketplace systems I build products where AI drives real business outcomes — not just model accuracy metrics.