You're seeing a real resume scored in real-time across 6 dimensions — the same output a recruiter would use to make a hire/no-hire decision.
Sample PM resume scored against Razorpay Senior PM JD.
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92
Ananya Krishnan
STRONG HIRESeniority: MATCH
Exceptionally strong match for a Senior PM role in AI-powered merchant intelligence. Direct experience building ML fraud detection at 8M+ daily transaction scale, merchant risk scoring, and payment routing optimization at PhonePe. Deep payments domain expertise across UPI, card networks, and RBI compliance. Previous Cashfree experience adds API/platform product depth. IIT Madras CS + ISB combination provides both technical and business foundations. Primary gap: limited credit risk depth, which is a nice-to-have rather than requirement.
Dimension Breakdown
Skills Match30%
94
Direct match on Python, TypeScript, SQL, ML/AI Products, API Architecture, Real-time Systems, UPI/IMPS/NEFT, RBI Compliance, Fraud Detection, A/B Testing. Covers all 6 required skills and 3/4 nice-to-haves. Implicit: event-driven architecture demonstrated through smart routing and webhook systems.
7+ years across payments and fintech. Current role at PhonePe directly matches: ML-powered fraud detection, merchant risk scoring, payment routing optimization. Previous role at Cashfree — built payment gateway APIs and settlement products. Deep payments domain expertise with both issuer and acquirer side experience.
Exceptional quantified impact: 34% fraud reduction, 97.1% UPI success rate (from 94.2%), ₹200Cr GMV recovery, 12M mandate migrations at 99.7% success, 3x developer adoption. Numbers are specific, credible, and demonstrate business impact at scale.
Quantified Impact0-to-1 ExecutionScale Operations
Education Fit8%
88
B.Tech CS from IIT Madras — strong technical foundation. ISB PGP ongoing adds business lens. Education fully meets the stated requirement. Weight appropriately decayed given 7+ years of experience.
B.Tech CSMBA (ongoing)
Trajectory Alignment12%
92
Clear upward trajectory: APM at Freshworks → PM at Cashfree → Senior PM at PhonePe. Each move increased scope. Side projects (PaySense, RBI Tracker) show deep payments passion. Direction perfectly aligned with AI platform role at Razorpay.
Career ProgressionDomain DeepeningBuilder Mentality
Communication Quality10%
86
Resume is well-structured with consistent action-result format. Technical concepts explained clearly. Numbers used precisely. Open-source projects show ability to communicate to developer audiences.
Technical WritingDeveloper Communication
Strengths
Direct domain match — built ML fraud detection and merchant risk scoring at PhonePe
Builder beyond work hours — PaySense (800+ GitHub stars) and RBI Tracker show ecosystem passion
Gaps
No deep credit risk or merchant lending experience (nice-to-have, not required)
Limited evidence of LLM/GenAI product experience in production
Resume focuses on execution — could show more strategic/vision framing
Bias Flags
Prestige bias risk: IIT Madras + ISB pedigree should not inflate score beyond demonstrated competence
Gender bias check: Scoring unchanged after name redaction — no bias detected
Interview Questions
1Walk me through the fraud detection pipeline — how do you balance latency vs. accuracy when processing 8M daily transactions?
2The smart routing engine lifted UPI success from 94.2% to 97.1%. What signals does it use and how did you validate the routing decisions?
3You migrated 12M e-mandates for RBI compliance. What was the hardest technical constraint and how did it shape the product?
4You haven't shipped LLM products in production yet. How would you approach building an LLM-powered merchant intelligence system given your fraud detection experience?
5PaySense has 800+ GitHub stars — what did you learn about developer experience that would apply to Razorpay's platform products?