• Founded and evolved a cross-domain ML-, GenAI-, and rules-driven decision infrastructure platform enabling real-time model inference and rule evaluation across compliance, payments, security, merchant, and consumer domains in large-scale, latency-sensitive production systems with audit and traceability requirements

• Architected and implemented extensible framework components—including workflow orchestration, rule engine, model integration layer, data connectors, and structured audit logging—powering ~1B daily real-time, low-latency decision requests

• Defined standardized integration contracts and lifecycle governance for rules and models; led cross-domain architectural reviews, mentored junior and senior engineers, and guided partner teams to align with platform constraints, performance targets, and reliability standards

• Led end-to-end integration and productionization of multiple ML-, GenAI-, and rules-driven decision use cases across compliance, payments, security, and consumer domains, partnering with ML modeling, analytics, and domain engineering teams to deploy high-throughput real-time scoring and decision systems

• Led cross-regional Run-The-Business reliability efforts across U.S. and APAC engineering teams, establishing monitoring and alerting standards, incident response processes, structured postmortem practices, and shared dashboards, achieving one of the highest availability metrics across engineering teams in the organization

• Drove platform evolution by enabling first-time GKE deployment of a decision service previously deployable only in on-prem environments for cross-cloud traffic; partnered with infra teams on a GCP POC to reduce latency for Braintree payment traffic originating from AWS East, migrated services to GKE Kubernetes, deployed and configured the first Kong API Gateway, integrated Google Vertex Feature Store for feature loading, and collaborated closely with Google engineers during pre-release API development

• Maintained and evolved the shared risk decision framework supporting ~20 risk domain engineering teams, contributing enhancements to rule execution, workflow orchestration, and dispatch components in real-time evaluation pipelines

• Reviewed and integrated pull requests from ~20 domain teams across ~7 shared framework repositories, enforcing architectural consistency, backward compatibility, and production readiness standards

• Owned framework build and release processes, publishing versioned components consumed by downstream decision services and coordinating upgrade adoption across domain teams

• Led consolidation of diverged shared framework components across Decision and Compute Service codebases, reconciling active development streams to restore a unified execution foundation prior to ownership transition to APAC engineering

• Lead contributor and co-inventor of two issued U.S. patents related to decision platform and risk evaluation framework innovations

• Selected for PayPal’s competitive cross-functional rotation program

• Analyzed seller behavioral and transactional data to support merchant onboarding risk strategy design

• Gained exposure to fraud metrics, compliance considerations, and investigator adjudication workflows in a regulated environment

• Following staff engineer departure, assumed sole production ownership of the rules platform and independently supported all escalations and urgent fraud/compliance rule releases for two consecutive months until team reorganization, maintaining uninterrupted system stability and business continuity

• Optimized and stabilized a fragile rule release pipeline, reducing deployment delays from 1–2 days to ~2 hours through code refactoring, validation hardening, failure isolation improvements, and pre-release cache warmup mechanisms to ensure predictable and safe production rollout

• Maintained and supported the enterprise rule authoring, validation, and release platform used by global fraud and compliance teams to manage production rule sets

• Led rule authoring platform version upgrade and associated database migration in collaboration with external vendor engineers, ensuring compatibility, data integrity, and minimal production disruption

• Mentored junior engineers and contributed to onboarding and knowledge transfer within the rules infrastructure team

Discovering Software Vulnerabilities through Interactive Static Analysis (NSF project)

• Designed a novel developer-oriented framework, interactive static analysis, to help developers more easily detect and fix security flaws in code early in the software development life cycle as well as to drive customized static analysis without writing custom rules by security experts

• Implemented an interactive static analysis prototype ASIDE CodeAnnotate as plugins in Eclipse for Java and Eclipse for PHP

• Detected multiple zero-day vulnerabilities in large open source projects with the prototype

Interactive Support for Secure Programming Education (NSF project)

• Implemented a plugin in Eclipse for Java providing secure programming code refactoring and education support to students, which demonstrated effectiveness in user evaluations by helping students write more secure code