Available to hire
I’m a Senior Software Engineer with 8 years of experience across e-commerce, healthcare, and media, specializing in cloud-native, full-stack, and AI-driven systems. I build scalable, high-performance platforms used at enterprise scale, with a focus on reliability and security.
I design distributed architectures, real-time data pipelines, and ML-powered applications, and I enjoy mentoring teams to turn complex problems into maintainable solutions that engineers love to operate in production.
Skills
Experience Level
Expert
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Intermediate
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Work Experience
Senior Software Engineer at Google
April 1, 2022 - PresentDirected the end-to-end engineering of the Unified Patient View for Care Studio, architecting high-throughput GCP microservices and AI models that reduced clinician review time by 30% and improved data ingestion latency by 50%. Built a full-stack solution using Next.js, TypeScript, Python, Java, and Go with Google Cloud FHIR Stores and PostgreSQL to manage multi-modal clinical data from 5+ EHR systems, achieving a 40% improvement in retrieval speeds. Developed AI-driven Conditions Summarization (Python, TensorFlow, Med-PaLM 2) to extract clinical entities from unstructured notes, increasing diagnostic data visibility by 25% and reducing manual chart summarization time by 15 minutes per patient. Created a high-performance longitudinal timeline (Next.js, TypeScript, D3.js) with Go-based gRPC microservices and Redis caching, reducing initial load times by 40%. Architected a 99.99% uptime, HIPAA-compliant cloud environment on GKE with Kafka streams to cut data synchronization latency by 60
Senior Software Engineer at eBay
August 1, 2020 - April 1, 2022Built core components of the Seller Hub, including AI-driven listing tools, sourcing analytics, and cloud-native backend systems using React/MarkoJS, Java microservices, Kubernetes, and AWS, enhancing seller efficiency and platform scalability. Modernized the All Selling page with MarkoJS/React frontend and Java backend, integrating Managed Payments APIs to enable real-time financial tracking and replacing a 20-year-old monolith with a modular dashboard. Created the Magical Listing Tool using CNN-based computer vision and Transformer-based NLP to generate structured titles and descriptions from product images, reducing listing creation time by ~40% and improving seller completion rates by ~15%. Developed Terapeak Sourcing Insights with Apache Spark/Hadoop for real-time analytics dashboards, boosting sourcing efficiency by ~20%. Migrated core systems to a cloud-native microservices architecture (Kubernetes, Docker, OpenStack) enhancing resilience during peak traffic and enabling indepen
Frontend Engineer at Apple
June 1, 2018 - May 1, 2020Frontend Engineer at Apple Music building support tools and admin dashboards using React, TypeScript, Redux, Node.js, GraphQL, and REST APIs; improved frontend performance by ~35% and reduced issue resolution time by ~25% through real-time analytics integration and UI optimization. Built and optimized customer support and service management UI for subscriptions, playback issues, and account requests, enabling efficient agent workflows. Developed admin dashboards for virtual resource management (user accounts, streaming sessions, entitlement controls), improving operational visibility across Apple Music systems. Enhanced frontend performance through code-splitting, lazy loading, and memoization, reducing page load times by ~35% under high traffic. Designed and implemented real-time observability and analytics platform using event-driven architecture and streaming pipelines, integrating REST APIs and Grafana dashboards to shorten incident resolution times.
Education
Master's degree at San Jose State University
August 1, 2013 - May 1, 2015Qualifications
Industry Experience
Software & Internet, Healthcare, Media & Entertainment, Education, Professional Services
Skills
Experience Level
Expert
Expert
Expert
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Intermediate
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