Senior Software Engineer (Privacy Infrastructure) at Meta

Led development of Meta's Privacy Goal Ingestion Platform using Go, GraphQL, Kubernetes, MySQL, and distributed microservices, reducing privacy-compliance onboarding effort by 60% across engineering organizations. Architected and implemented a centralized self-service permission management platform using Go, React, GraphQL, and backend authorization services, reducing manual access-review effort by 75%. Designed and developed highly available backend services processing millions of authorization and compliance requests while maintaining 99.99% service availability. Built full-stack privacy-compliance dashboards using React, GraphQL, Python, SQL, and distributed backend services, reducing executive reporting effort by 80%. Improved reliability via Datadog, Prometheus, distributed tracing, automated alerting, and observability tooling, reducing production incidents by 40%. Partnered with legal, privacy, security, and infrastructure teams to implement scalable policy-enforcement solutions

Senior Software Engineer at Meta

Led development of Meta's Privacy Goal Ingestion Platform with Go, GraphQL, and Kubernetes microservices to streamline privacy compliance and engineering governance. Architected centralized permission management, reducing manual access-review effort by 75% and improving secure authorization. Built highly available backend services processing millions of authorization and compliance events for secure enterprise analytics and AI/ML access. Developed React/GraphQL/Python/SQL dashboards for real-time operational insights and compliance metrics. Led migration from Apple SKAdNetwork to Aggregate Event Measurement for privacy-preserving attribution. Designed distributed event-processing pipelines for billions of advertising events powering analytics, experimentation, recommendation systems, and downstream ML workflows. Implemented data quality frameworks with automated validation, anomaly detection, and large-scale data correction to reduce recovery time by 77%. Collaborated across Data Scien

Senior Software Engineer (Ads Measurement) at Meta

Led reliability initiatives for Meta's migration from Apple SKAdNetwork (SKAN) to Aggregate Event Measurement (AEM) using Go, Python, SQL, and distributed event-processing systems supporting large-scale advertising attribution. Designed and implemented large-scale data-correction pipelines using Go, Python, SQL, analytics systems, and distributed processing frameworks, reducing data recovery time by 77% from 30 days to 7 days. Developed backend services and data validation frameworks supporting privacy-preserving advertising measurement and analytics workloads. Built automated anomaly-detection and data-quality validation systems using Python, SQL, and analytics tooling, reducing manual operational effort by 70% while improving measurement accuracy. Led multiple SEV-1 and SEV-2 incident response efforts using monitoring, distributed tracing, observability tooling, and operational automation to help prevent an estimated $5M+ revenue impact. Enhanced observability via Datadog dashboards,

Software Engineer at IBM

Developed cloud infrastructure services using PHP, Kubernetes, Docker, Linux, MySQL, and REST APIs supporting enterprise cloud provisioning and infrastructure management workflows. Reduced virtual machine provisioning time by 40% through backend workflow optimization, infrastructure automation, and platform performance improvements. Implemented automated TLS certificate management and credential-rotation solutions using Kubernetes and Linux automation, strengthening platform security and reducing operational risk. Modernized legacy infrastructure services into containerized Kubernetes-based applications, improving scalability and reducing production incidents by 30%. Built self-service infrastructure automation platforms using PHP, REST APIs, MySQL, and backend orchestration services, reducing manual provisioning effort by 65%. Developed internal operational tooling and full-stack management applications using JavaScript and REST APIs to improve engineering productivity and deployment

Software Engineering Intern at Thomson Reuters

Integrated Jenkins CI/CD pipelines that reduced deployment effort by 70% and accelerated software release cycles. Implemented SonarQube quality gates, automated code analysis, and engineering dashboards, improving software quality visibility across development teams. Modernized testing frameworks using Java, automation tooling, build pipelines, and continuous integration practices, reducing regression testing effort by 50%. Developed deployment automation scripts and release workflows that improved engineering productivity and release reliability.

Software Engineer at IBM

Developed cloud-native backend infrastructure using Kubernetes, Docker, Linux, PHP, MySQL, and REST APIs for enterprise cloud platforms and distributed applications. Built platform APIs and orchestration services automating VM lifecycle management, reducing provisioning time by 40%. Modernized legacy systems into Kubernetes-based microservices improving scalability and reducing production incidents by 30%. Implemented TLS certificate lifecycle automation and secure deployment workflows. Designed scalable infrastructure for analytics and AI/ML-enabled cloud services. Delivered enterprise workflow automation solutions for Fortune 500 organizations using Java, Angular, IBM BPM, and REST APIs. Built full-stack enterprise applications and operational dashboards, optimized backend APIs and database performance, improving overall system performance by 35–45%.

Software Consultant at IBM

Delivered enterprise workflow automation solutions using IBM BPM, Java, Angular, JavaScript, REST APIs, and VMware vRealize Orchestrator for Fortune 500 clients. Developed full-stack enterprise applications using Angular, JavaScript, Java, and REST APIs with workflow engines, improving operational visibility and business process automation. Designed workflow orchestration systems integrating IBM BPM with enterprise infrastructure platforms and backend services, reducing workflow execution times by 30%. Built customer-facing dashboards and business applications supporting operational reporting, workflow management, and process automation initiatives. Integrated multiple enterprise systems through REST APIs, middleware technologies, and workflow platforms, streamlining cross-platform business processes and reducing manual effort. Led solution architecture discussions, implementation planning, and production deployments across multiple enterprise engagements. Improved application performa