Open to product roles

I turn
ambiguity
into measurable
impact.

Payment rails at a seed-stage fintech. Security platform built 0→1, securing data activity across 180K+ employees. Founding PM, live product in market. I do my best work where the problem is real but the path isn't.

4
Years in Product
FinTech · Security · IoT
Industries
B2B SaaS · B2C · Enterprise
Business Models
Payments · Platform · Mobile Apps
Domains
PAYMENT ONBOARDING AUTOMATED · 3X CAPACITY·$1M+ ANNUAL PROFIT · 600+ MERCHANTS ON INTERNAL RAIL·85% FEWER PAYMENT OVER-REFUNDS·$330K REVENUE PROTECTED · PLATFORM CONFIGURATION FIX·1,000+ MERCHANT ACCOUNTS·ENTERPRISE SECURITY PLATFORM · 180K EMPLOYEES·34% APP STORE RATING UPLIFT·PAYMENT ONBOARDING AUTOMATED · 3X CAPACITY·$1M+ ANNUAL PROFIT · 600+ MERCHANTS ON INTERNAL RAIL·85% FEWER PAYMENT OVER-REFUNDS·$330K REVENUE PROTECTED · PLATFORM CONFIGURATION FIX·1,000+ MERCHANT ACCOUNTS·ENTERPRISE SECURITY PLATFORM · 180K EMPLOYEES·34% APP STORE RATING UPLIFT·
01

Experience

Tenant Inc.
Seed-stage B2B SaaS · Property management platform for the self-storage industry
Product Manager · Platform & Payments
Aug 2023 – Apr 2025
Los Angeles, CA, USA

Platform PM owning merchant onboarding, self-serve tooling, dispute management, and product discovery for a B2B SaaS platform serving 1,300+ merchants. Drove GTM for a proprietary payment rail, closed self-service gaps, and eliminated revenue leakage to generate $1M+ in annual gross profit.

  • Executed the go-to-market strategy to scale Tenant's internal payment product from ~40 to 600+ merchants (15x), targeting mid-market and enterprise clients with a consolidation value proposition: unified payments, disputes, and reporting into a single platform made switching from third-party processors the natural choice. Generated an estimated $1M+ in annual gross profit.
  • Caught $330K+ in annual revenue leakage through proactive monitoring: identified anomalous chargeback patterns via SQL, traced root cause to a platform configuration error causing unrecognized charges on customer statements, corrected configuration across all affected accounts, and patched onboarding to prevent recurrence.
  • Closed a platform-wide self-service gap by shipping a merchant-facing payment configuration console and operational reporting suite. Reduced onboarding from days to under 24 hours, drove 3x capacity growth, cut support tickets by ~50%, and freed 60+ CS hours/month across 1,000+ merchants.
  • Identified a platform integrity flaw where refund and dispute flows operated without shared transaction state, enabling duplicate payouts. Defined state transition rules across all conflict scenarios, enforced pre-refund validation at the transaction level, resolved $18K in historical incidents, and cut over-refunds by 85%.
  • Automated a fully manual dispute ingestion workflow across 1,000+ accounts, cutting the processing cycle from 3 days to real-time. Post-launch, proactively identified a 30% notification delivery failure traced to stale merchant email addresses with no self-serve fix, and shipped a Notification Preference Center to achieve 100% delivery on time-sensitive alerts.
  • Reduced platform processing costs by $20K/month through data analysis: identified that adding ZIP code collection to customer checkout qualified transactions for lower interchange rates without impacting conversion.
Wipro Limited
Global IT services and consulting · $10B+ revenue, 220K+ employees · In the tier of Accenture and Cognizant
Product Manager · Enterprise Security Platform
Jan 2020 – Jul 2021
Bangalore, KA, India

PM embedded within Wipro's Information Risk Management and Compliance (IRMC) team, owning the full product lifecycle of a 0→1 incident management platform built for a 50+ person security operations team securing data activity across 180K+ employees globally.

  • Led 0→1 delivery of a cloud-based incident management platform for Wipro's internal risk and compliance team, responsible for monitoring and remediating data security incidents across 180K+ global employees. Replaced disconnected manual workflows with a unified system of record, achieving 100% adoption across a structured rollout with training and process documentation.
  • Designed a multi-tiered RBAC framework mapping to SOC analyst, incident responder, and lead roles, with scoped permissions and escalation paths at each level. Built-in tracking across evidence uploads, investigation notes, remediation steps, and incident status ensured 100% audit integrity across all incidents.
  • Designed an exception module that gave analysts a reference layer of pre-approved accounts and data destinations, cutting unnecessary escalations by 95% and maintaining 99% issue resolution accuracy, driven by recurring cross-stakeholder frustration from repeated false positive flagging despite having approved data sharing exceptions.
  • Scoped and delivered an ML-assisted triage tool that auto-classified incidents by file name, size, and data destination, recovering 440+ analyst hours per month. Roadmapped a second phase to classify file contents for deeper automated detection.
Wipro Consumer Lighting
Consumer electronics division of Wipro · Smart home devices, firmware, and companion mobile app
Associate Product Manager · Smart Home & IoT
Jun 2019 – Jan 2020
Pune, MH, India

Associate PM supporting the 2nd-gen roadmap and cross-functional execution for a smart home device portfolio spanning hardware components, firmware, and a companion mobile app.

  • Conducted hands-on competitor analysis and extensive user research across app store reviews, forums, and Reddit to surface pain points in the existing smart home product line and identify market gaps. Translated findings into a prioritized 2nd-gen roadmap across hardware and mobile app, improving App Store ratings from 3.5 to 4.7.
  • Redesigned the first-time user experience for device setup based on research findings, and proposed an in-app electrical savings feature tailored to cost-conscious households, getting it prioritized on the senior PM's roadmap. Facilitated cross-functional delivery across hardware, firmware, and UX teams to ship the 2nd-gen product.
  • Drove cross-functional coordination to resolve firmware inconsistencies and standardize the Manufacturing Bill of Materials (MBOM), ensuring part-number and version accuracy across all products as the portfolio expanded to include smart cameras and power accessories.
Education
University of Southern California
M.S. Engineering Management
Los Angeles, CA, USA
Jawaharlal Nehru Technological University
B.Tech Electrical & Electronics Engineering
Hyderabad, TS, India
Certifications
Cloud Practitioner Essentials
Amazon Web Services
Product Management Professional
Aha!
Product Analytics & Product Led Growth
Pendo × mindtheProduct
02

Projects

01 / 04 CONCEPT

Apple Fitness+

Turn your biometrics into a smarter gym session.

A PM pitch for what Apple should build: adaptive strength training inside Fitness+, powered by creator-designed AI programming and HealthKit biometrics.

Expert programming finally gym-ready — no spreadsheets
Creator expertise × Apple AI × Watch hardware
AI × FitnessCreator EconomyPlatform Strategy
View case study
02 / 04 LIVE

DentStream

Turn missed calls into booked estimate requests.

Multi-tenant acquisition layer giving collision shops a branded digital presence — capturing estimate leads, digitizing customer intake, and letting customers self-schedule drop-offs without a phone call.

Digitized estimate intake for collision shops
Shops onboarded in under 24 hours
Vertical SaaS0→1 LaunchProduct-Led GrowthGo-to-Market
View case study
03 / 04 IN DESIGN

BayOS

Turn tribal knowledge into an optimized work order.

AI-powered shop management layer that sequences active jobs, tracks parts readiness, and surfaces today's optimal work order — giving managers and techs the best action at every moment.

Daily sequencing engine for collision shops
Parts readiness gating per job
Vertical SaaSOps IntelligenceWorkflow Automation
View case study
04 / 04 IN DESIGN

BidOS

Turn gut-feel bidding into structured capital allocation.

Native mobile app for semi-pro operators buying at Copart and IAAI. Models repair costs, surfaces model-year risk, and outputs a max bid with margin forecast — before the hammer drops. Web to follow.

Max bid with margin forecast
3 bid scenarios: conservative to worst-case
Mobile-firstDecision IntelligenceRisk Modeling
View case study
03

Contact

Let's build something
that compounds.

If you're building a team that thrives in complexity, moves fast, and isn't satisfied with “this is how we've always done it” — I'd love to talk.