# Rohith Yekula > Product Manager | UX & Engagement, Fintech & AI/ML Products | SQL, Python, APIs | Driving Data-Driven Growth & Scalable Platforms Location: Gainesville, Florida, United States Profile: https://flows.cv/rohithyekula I’m a Product Manager with 5+ years of experience building fintech, healthcare, and AI-driven platforms that solve complex problems at scale. My work has generated $220M+ in measurable business value through payment optimization, fraud prevention, and data-driven product improvements. Currently, I work on payment infrastructure and ML-powered risk systems, partnering closely with engineering, data science, and design teams to build reliable and scalable products. I’ve led initiatives that recovered $195M in failed transactions, launched fraud detection systems processing millions of daily predictions, and improved digital product conversions through experimentation and analytics. Previously, I built enterprise healthcare platforms integrating FHIR APIs, clinical analytics, and predictive ML models to reduce costs and improve care outcomes for millions of patients. I enjoy working at the intersection of product strategy, data, and engineering—from zero-to-one product launches to scaling platforms used by millions of users. My technical background in SQL, Python, APIs, and cloud infrastructure helps me collaborate deeply with engineering teams while staying focused on customer impact and business results. I’m currently open to Product Manager and Senior Product Manager opportunities where I can build impactful, data-driven products powered by AI and modern platforms. Let’s connect! ## Work Experience ### Product Manager @ Capital One Jan 2025 – Present | Orlando, FL • Recovered $195M in failed transactions by redesigning payment routing across 15 processor integrations post-Discover acquisition, slashing failure rates 36% and boosting authorization rates to a company-best benchmark. • Prevented $4.8M in annual fraud losses by launching an AWS SageMaker fraud detection platform processing 2.8M daily predictions at 85ms latency, lowering false positives 38% and shrinking manual review volume 52%. • Generated $6.5M in annual revenue and a 22% lift in account opening conversions by eliminating 8 UX friction points identified through customer requirements analysis and Amplitude funnel diagnostics, improving DAU/MAU retention rate 24%. • Built a reusable A/B experimentation platform on LaunchDarkly and Statsig, running 12 product launch tests to 450K users that drove 28% activation uplift, $3.2M in quarterly GMV growth, and measurable marketplace liquidity gains. • Led end-to-end ML model lifecycle and model observability on AWS SageMaker, implementing CloudWatch dashboards tracking drift, feature skew, and LLM evaluation frameworks that sustained 98%+ prediction accuracy and trimmed retraining lag from 14 days to 72 hours. • Launched a developer API platform exposing payment capabilities as versioned REST, GraphQL, and SDK-enabled APIs with OpenAPI specs, JWT auth, and developer experience (DX) onboarding portals, cutting integration from 8 weeks to 5 days across 18 teams and 3 fintech partners. • Defined OKR frameworks and roadmap prioritization using RICE and WSJF; led stakeholder communication across compliance, security, and engineering through 12-week cycles, maintaining 99.98% uptime and achieving PCI DSS Level 1 certification. ### Technical Product Manager @ CitiusTech Jan 2020 – Jan 2023 | Hyderabad • Led roadmap and go-to-market strategy for an enterprise health tech SaaS platform processing 850K+ monthly claims via HL7 FHIR R4 APIs, streamlining claims cycle time 40%, scaling auto-adjudication to 91%, and generating $4.2M in annual client savings with 94% NRR and near-zero churn. • Prevented $8.7M in avoidable care costs by shipping Azure Synapse clinical decision support dashboards, with XGBoost and LightGBM models dropping readmissions 31%, emergency visits 35%, and supporting prior authorization and value-based care workflows. • Built an ML billing fraud detection system identifying $9.1M in annual anomalies at 94% precision, slashing analyst review time 63% and compressing audit prep from 3 weeks to 4 days. • Improved client relations by redesigning the provider portal through 60+ customer discovery sessions, lifting adoption from 54% to 81%, shortening task completion time 48%, and boosting provider NPS from 34 to 67 through close customer success collaboration. • Designed a FHIR R4 interoperability layer using Mirth Connect, bridging Epic, Cerner, and Allscripts with real-time data exchange and accelerating health system onboarding from 12 weeks to 3. • Launched a generative AI clinical documentation assistant on Azure OpenAI and RAG, trimming physician documentation time 40%; established responsible AI governance covering HIPAA audit logging and hallucination guardrails. • Led Agile delivery and risk control planning for a 15-member team across 3 time zones, achieving 95% of story points per sprint and shipping 14 consecutive on-schedule quarterly releases with zero P0 incidents. ## Education ### Master of Science - MS in Information Systems and Operations Management University of Florida - Warrington College of Business ### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering Gudlavalleru Engineering College, Seshadri Rao Knowledge Village, Gudlavalleru, PIN-521356(CC-48) ## Contact & Social - LinkedIn: https://linkedin.com/in/pothayekula - Portfolio: https://potha1308.github.io/portfolio/ - Portfolio: https://potha1308.github.io/portfolio --- Source: https://flows.cv/rohithyekula JSON Resume: https://flows.cv/rohithyekula/resume.json Last updated: 2026-04-19