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Product Manager with 3+ years in AI Product Management & Fintech
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AI Product Manager with 3.5+ years shipping AI-native products and regulated fintech infrastructure end-to-end — from 0→1 through scale. Designed agentic systems with LLM orchestration, confidence scoring, human-in-the-loop controls, and evaluation frameworks in high-trust financial workflows. Scaled a B2C consumer platform from 0 to 150K+ users in 2 months. Shipped payment infrastructure covering authorization, settlement, reconciliation, and KYC across RBI-regulated environments. Deep fluency in AI system behavior, context management, retrieval architectures, and reliability tradeoffs in probabilistic systems. Zero mid-sprint changes across all managed sprints.
Airtribe, India
AI Product Management Bootcamp · AI Product Management
August 1, 2025 – Present
UpGrad, India
Product Management Bootcamp · Product Management
August 1, 2022 – June 30, 2023
Gujarat Technological University, India
Bachelor of Business Administration · Business Administration
August 1, 2018 – June 30, 2021
Kredyble
Product Manager
October 1, 2025 – Present
India
Thryl
Product Manager
September 1, 2024 – October 1, 2025
India
OfficeBanao
Associate Product Manager
September 1, 2023 – June 1, 2024
India
Renix Informatics
Product Intern
May 1, 2023 – June 1, 2023
India
Enwisen Global Advisors
Business Consultant
June 1, 2022 – August 1, 2023
India
AI Mapping Copilot — Human-in-the-Loop Decision System
June 12, 2026 – Present
Designed and shipped a 0→1 AI product with RAG-adjacent architecture, confidence scoring, and explainable outputs — every decision is auditable, traceable, and overridable by human reviewers; directly applicable to AI copilot, fraud detection, and spend prediction use cases. Defined evaluation frameworks tracking override rate, false confidence rate, and calibration metrics via weekly feedback loops — continuously improving AI output quality and model reliability in a high-stakes financial environment.
Groq Equity Analyzer — AI-Powered Stock Analysis MVP
June 12, 2026 – Present
Built a 6-indicator composite signal scoring engine (RSI, MACD, EMA, Bollinger Bands, Volume) producing confidence-quantified Buy/Sell signals with multi-horizon price band predictions (Intraday, T+1, T+2) powered by Groq API. Defined performance SLAs (full pipeline for 15 stocks < 45 seconds), caching strategy, and on-demand AI call governance — balancing latency, cost, and reliability in a real-time decisioning system.
EVIFY — Real-Time FleetOps Platform & Automated Payout System
June 12, 2026 – Present
Authored PRDs for a real-time ops platform across 200+ EV assets — specified live telemetry ingestion, SLA breach detection, anomaly alerting, and automated payout workflows covering 15+ edge cases; zero mid-sprint changes.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI mapping copilots to fintech payment platforms and fleet operations, indicates adaptability and a broad interest in various problem spaces. Their experience in both B2B and B2C environments, coupled with a focus on AI and regulated industries, suggests a candidate who thrives in challenging and innovative settings. The continuous learning through bootcamps (AI Product Management) also points to a proactive and growth-oriented mindset, aligning well with dynamic startup cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their consistent focus on metrics (KPIs, SLAs), data-driven decision-making (A/B testing, funnel analysis), and structured approach to product development (PRDs, backlog management, zero mid-sprint changes). Their experience in coordinating cross-functional teams in fast-paced environments indicates strong collaboration and execution skills. The emphasis on 'zero mid-sprint changes' suggests a disciplined and thorough approach to planning and requirements gathering.