AI Product Management Portfolio

Rahul Bhole

Sr. PM · Machine Learning · Bidding · MarTech · AI — 8 years shipping at scale

LinkedIn ↗ Resume ↓ 📅 Schedule a Call Get in Touch
9 working prototypes
01 · Full-Stack AI Product
🗺️
triporganize.app — AI Trip Planner
Full-stack travel planning app I designed and built end-to-end. Enter destinations, dates, and budget — Claude reads travel blogs, Reddit, and reviews to generate multiple day-by-day itineraries to compare side-by-side. Forward booking emails to auto-import trips. Shipped to production with real users.
React + Vite Claude Haiku Firebase Vercel SendGrid Full-stack
Visit live product →
02 · Full-Stack AI Product
🔎
pricecompare.me — Calm Price Comparison
Ad-free electronics price comparison I designed and built end-to-end. Matches the same SKU across 6 US retailers, turns specs into plain-language filters, and gives an AI buying verdict for side-by-side comparisons. Natural-language search with a free rules layer before Claude and a hard daily AI spend cap. Email price alerts and Google sign-in. Live beta.
Next.js 16 Claude API SKU matching Upstash Redis Auth.js Vercel Full-stack
Visit live product →
03 · Personal AI Tool
☕
AI Daily Brief Assistant
Personal AI assistant that emails me a rich daily brief every morning — calendar, job pipeline (ATS + recruiters), smart inbox triage, kids' school updates, coursework deadlines, and a focus plan. Built with Claude + Gmail API + GitHub Actions.
Claude Sonnet 4.6 Gmail API Calendar API GitHub Actions Tool-use agent
See how it works →
04 · Case Study
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Friction Finder — AI Journey Audit Agent
AI-assisted workflow that simulates real customer journeys across paid funnels, detects trust and conversion friction, and outputs experiment-ready hypotheses — in hours, not days.
AI Product Discovery Journey Auditing Funnel Optimization Persona-Based Analysis
View case study →
05
🤖
ACMI Lite — AI Campaign Manager
Multi-agent AI system that detects performance anomalies, traces root causes through a 6-step reasoning pipeline, and generates guardrail-bounded bid & budget recommendations.
Multi-agent AI Anomaly detection Bidding ROAS optimization
Launch prototype →
06
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Auction Simulator
Simulate 1,000 auctions across Google, Trivago, Tripadvisor & Kayak. Tune bid strategy, ROAS target, and competitor aggressiveness to see win rates, CPC, and budget pacing.
Auction mechanics Multi-partner Bid strategy ROAS
Launch prototype →
07
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A/B Test Analyzer
Enter experiment results and get instant statistical significance analysis, confidence intervals, and a shareable PM readout with verdicts and next-step recommendations.
Experimentation Stats significance PM readout z-test
Launch prototype →
08
📝
AI PRD Generator
Describe your product idea and constraints → get a full PRD with problem statement, success metrics, user stories, MoSCoW requirements, risk register, and timeline.
Claude API PRD AI-powered Product thinking
Launch prototype →
09
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Bid Health Monitor
Real-time dashboard tracking bid submission rates, model freshness SLAs, auction coverage by partner, latency p99, and budget pacing — with a live AI-generated alert feed.
Real-time ops Model monitoring SLA tracking Alerting
Launch prototype →
About this portfolio
These prototypes were built to demonstrate applied AI product thinking — not just theory. Each one maps directly to real product work: ACMI Lite reflects the multi-agent system I prototyped during my AI PM certification; the Auction Simulator reflects 6+ years working with bidding dynamics across Google, Trivago, Tripadvisor and Kayak; the A/B Analyzer demonstrates core statistical concepts behind experiment design — including significance testing, confidence intervals, and sample size estimation.

The PRD Generator uses the Claude API to generate structured PRDs from product ideas — demonstrating how AI tools can accelerate PM workflows. The Bid Health Monitor mirrors the platform health metrics framework I established for a $1B annual ad spend operation.
Resume
Rahul Bhole
Bothell, WA  ·  bholerahul10@gmail.com  ·  (415) 713-7903
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Summary
Product manager with expertise in bridging business, technology, analytics, and machine learning to drive impactful solutions. Experienced in optimizing ML-driven ad strategies, enhancing platform development, and leveraging data for strategic decision-making. Skilled in improving marketing bidding platforms, aligning stakeholders, and integrating technology with business needs to maximize efficiency.
Professional Experience
Expedia Group — Seattle, WA
Apr 2022 – Present
Sr. Product Manager, Marketing Bidding Platform & ML Optimization
  • Owned end-to-end bidding strategy and optimization of ~$1B in annual performance ad spend across Google, Trivago, Tripadvisor & Kayak
  • Led cross-functional launch of TikTokGo integration — delivered MVP with 150+ transactions and $50K+ GBV at 50% rollout
  • Partnered with ML Science to implement controllers on bid-to-value prediction models (CVR × GP × units), translating ROAS constraints into real-time bidding decisions
  • Enabled rapid experimentation via a self-service no-code A/B testing platform, reducing bid strategy iteration time by 17% and saving ~40 person-weeks annually
  • Established platform health metrics (model refresh SLAs, bid submission success rates, auction coverage), improving system reliability and decision confidence
  • Led launch of a bidding platform UI, partnering with engineering and ops to deliver MVP within 2 months
  • Defined the North Star vision for the marketing bidding platform in collaboration with MLS, MLE, Ops and business stakeholders
$1B ad spend −17% iteration time ~40 person-wks saved/yr TikTokGo MVP
Expedia Group
Apr 2020 – Mar 2022
Product Manager III, Machine Learning
  • Led end-to-end development of new ML algorithms and model enhancements, balancing cost, timelines, and business impact
  • Defined and executed the data science product roadmap optimizing marketing channel ad traffic
  • Led integration of legacy bidding platforms across 3 brands during complex organizational restructuring
  • Streamlined algorithm development processes, increasing efficiency and scalability
Expedia Group
Jun 2017 – Mar 2020
Sr. Marketing Analytics Manager
  • Led and optimized metasearch campaigns with Kayak and Tripadvisor, improving traffic productivity and ROAS
  • Built CPC prediction models for hotel ad auctions: +15% transactions, +20% gross profit
  • Designed and executed A/B tests for algorithm enhancements: +17% transactions, +19% GP
  • Developed dashboards and alerting framework for KPI monitoring and root cause analysis
+15% transactions +20% GP +17% txn via A/B
Raymond Ltd — Mumbai, India
Apr 2011 – Mar 2016
Regional Sales Manager / Marketing Analyst / Category Analyst
  • Developed product, pricing, and promotional strategies using consumption-based insights, driving $102M in revenue
Tata Consultancy Services — Mumbai, India
Aug 2007 – Jul 2009
Assistant System Engineer
  • Developed software features to resolve business-critical issues using C++ for a telecom client
AI Certification & Projects
Education
M.S. Business Analytics (GPA 4.0)
W. P. Carey School of Business, Arizona State University
May 2017 — Tempe, AZ
MBA — Marketing
Jamnalal Bajaj Institute of Management Studies
May 2011 — Mumbai, India
B.E. Computer Engineering
Veermata Jijabai Technological Institute
May 2007 — Mumbai, India
Skills & Domains
ML Bidding Platforms ROAS Optimization Auction Mechanics A/B Experimentation Data Science Roadmaps LLMs & Prompt Design Multi-agent AI Systems Stakeholder Alignment PRD & Requirements Platform Health Metrics SQL / Analytics Cross-functional Leadership