I’m a senior backend and platform engineer with over 10+ years of experience designing and scaling secure, high-performance systems across identity, payments, and fraud domains.
Experience
2019 — Now
2019 — Now
San Francisco Bay Area
1. Acted as lead for PayPal’s Passkey initiative implementing WebAuthn/FIDO2-compliant passwordless authentication across iOS, Android, and web platforms. Reduced password reset volume by 40%, eliminated credential phishing vectors, and achieved industry-first deployment at financial scale.
2. Owned end-to-end Identity systems (Identification, Authentication, Authorization) for PayPal’s global consumer base, including AI/ML-powered risk signals and 3rd-party integrations (Google, Apple, Meta) that powered seamless Sign Up with PayPal experiences.
3. Architected and scaled distributed services (Java RESTful APIs, Node.js experience layers) handling 9.5B+ API calls/day with high availability, sub-second latency, and automated failover.
4. Reduced failed customer interactions by 50%+ through architectural modernization, AI-driven anomaly detection in login flows, and operational maturity upgrades.
5. Transformed legacy identity stack into a modern, intelligent platform, ensuring backward compatibility while enabling secure partner authentication flows (Google, Facebook, Apple).
6. Accelerated delivery pipelines by cutting regression cycles from 2 days to 1 hour through automation, 85%+ code coverage, and continuous quality practices.
7. Applied AI/ML experimentation and observability frameworks (Datadog, Grafana, Prometheus) to analyze A/B tests in authentication flows—driving data-driven improvements to login speed, consent handling, and fraud detection.
8. Recognized as a domain expert in Identity and Checkout platforms, influencing multi-year strategic roadmaps and leading innovations in customer authentication, partner integrations, and AI-powered transaction security.
2015 — 2016
2015 — 2016
Bengaluru
System Integration Across Distributed Spring Applications
1. Led the design and implementation of a loosely coupled, asynchronous messaging architecture to enable seamless integration between two Spring-based enterprise systems, boosting inter-product reliability to >99.9% uptime.
2. Streamlined object mapping across disparate services using Dozer-based transformation, cutting integration defects by 40%, improving maintainability, and reducing onboarding time by 50% for new engineers.
Falcon Programming Interface is a Java-based API that interfaces with Falcon’s Case Management Subsystem, requiring secure connectivity to both relational databases and LDAP directories.
1. Delivered a backward-compatible encryption framework for FPI—adopted by 5+ enterprise clients—by introducing externalized utility modules and configuration-driven encryption logic, with zero changes to the legacy codebase.
2. Achieved 100% compatibility across legacy deployments while reducing integration effort by ~60% and accelerating implementation timelines by 2–3 weeks per client.
3. Solved a critical compliance gap in secure connectivity without compromising system stability, reducing regression risk in production environments.
2012 — 2015
2012 — 2015
Bengaluru
Platform Engineering, Batch Optimization & Scalable Architecture
1. Designed and implemented a multithreaded data pipeline to generate 30+ Materialized Views (MVs) across high-volume healthcare datasets (drugs, patients, pharmaceutical companies), reducing ETL monitoring efforts by 40% and improving downstream query performance by 60%.
2. Enhanced the batch layer’s concurrency resolution logic, reducing cross-dependency failures during scheduled runs and increasing system stability during peak loads by 25%.
3. Delivered a high-speed drug search batch that preloaded dictionary data into memory tables, cutting drug validation time in the E2B pipeline by 35%.
Regulatory Case Ingestion & System Configurability
1. Led backend development of the Inbound Batch Processing System, transforming incoming E2B-standard ADR reports into structured regulatory cases for UK and Denmark agencies.
2. Built dynamic workflow routing logic to automatically classify and triage cases based on severity and jurisdiction—enabling faster decisioning for downstream users.
3. Developed an XML-driven configuration framework, replacing hardcoded logic to support agency-specific integrations—reducing time to onboard new jurisdictions by ~60%.
Cross-Functional Delivery & Global Collaboration
1. Collaborated with QA, BAs, and engineering teams across India, UK, and US to deliver backend and data engineering features aligned to compliance requirements.
2. Supported a modular web-based follow-up interface for regulatory agencies with secure REST APIs and configurable UI components—built for extensibility and automation readiness.
3. Championed best practices in code modularity, data privacy, and high-availability system design within an Agile delivery model.
Skills:
Java • Spring Boot • Multithreading • System Design • Scalable Architecture • ETL Pipelines • Concurrency Control • Batch Processing • REST APIs • Oracle • Materialized Views • Configurable Frameworks • Cross-Team Collaboration • E2B
2011 — 2012
2011 — 2012
Bengaluru
Regulatory Follow-Up Platform – UK & Denmark
• Engineered a modular web application enabling regulatory agencies in the UK and Denmark to track and engage with reporters of adverse drug reactions, improving post-market safety workflows. Built with a focus on secure data handling, RESTful integration, and scalable user interface components—laying a foundation for future automation, analytics, and intelligent triage workflows.
Education
San José State University
Master’s Degree
2017 — 2019
Shri G S Institute of Technology & Science
Bachelor of Engineering (BE)
2007 — 2011