Chris Nassif

Led high-traffic e-commerce engineering initiatives using Next.js (App Router), TypeScript, Zustand, and Apollo Client. Built a GraphQL BFF aggregating multiple AWS Lambda services to simplify frontend integration and improve performance. Integrated CommerceTools and Contentful for a flexible, content-driven marketplace. Rebuilt the ML data pipeline with Feedonomics, Airflow, DBT, BigQuery, and Vertex AI to enable scalable training for search and recommendation models. Implemented personalized search and recommendations with Vertex AI and ran data-informed A/B experiments with Optimizely. Established CI/CD pipelines with GitHub Actions (Dependabot) and SonarQube for security and code quality. Enhanced production observability with Splunk and improved incident response processes.

Contributed to the recommendations team, delivering personalized travel offers. Built and maintained a high-performance API using Python, Quart, Redis, PostgreSQL, and asynchronous programming. Deployed microservices on AWS ECS, S3, ElastiCache, and RDS with Docker for horizontal scaling. Managed cron jobs and cloud autoscaling with Pulumi IaC. Led the 'Perfect Match' email initiative using Python, Google BigQuery, RQ, and Braze, boosting CTR by 10%+ and generating 2M+ total transactions/view time. Captured user behavior with TypeScript, React, and Snowplow, feeding BigQuery with DBT processing. Ran A/B tests with Optimizely and React. Monitored production with Sentry, CloudWatch, and New Relic; maintained 85%+ code coverage via Python unittest.

Maintained Sopranos' core CPaaS platform (API and web application) using Java, Apache Struts, Tomcat, IBM DB2, and TIBCO, achieving 10,000 messages/sec throughput. Improved WCAG compliance from A to AA. Integrated SAST tools (Snyk, SonarQube) to reduce vulnerabilities. Increased test coverage to 80%+ with JUnit and Selenium, leveraging Jenkins CI/CD pipelines. Built shell cron jobs on AWS EC2 to optimize resource usage and reduce server costs by ~20%. Published an NPM module leveraging React Native and TypeScript to facilitate mobile market entry.