• Led the design and build of a fire spread prediction engine with a dynamically scaled model providing near real-time results, and saving +300 analyst work hours per month.

• Refactored legacy log indexing and observability services to improve metrics of the usage and cost for infrastructure processing PBs per month.

• Facilitated rainbow deployments from dynamic multi-branch Jenkins pipeline that enabled +20 engineers to rapidly develop new features in their own isolated production-like cloud environments.

• Developed API and audio processing pipeline in Node.js for a social media platform leveraging AWS Serverless technologies to enable user-generated content, audio streaming, and social features.

• Scaled an Elasticsearch cluster and related infrastructure for an e-commerce store by optimizing indices, sharding strategies, tuning the JVM, and eliminating slow queries.

• Developed contextual ad-targeting, workflow API, and robust search engine to automate online video distribution for popular media sites in the Asia-Pacific region.

• Built a telecommunication digital storefront as an SSR Next.js application, that provided millions of monthly active users with new self-service features and a dynamic shopping cart.

Delivering insights and predictions for our customers. Enabling them to develop an understanding of their audience and generate organic engagement

• Developed scalable and performant Big Data social media analytics and automation platform using an event driven micro-services architecture

• Significant contributions to Backend, Front End and DevOps CI/CD pipeline

• Migrated our micro-services from Mesos on AWS to Kubernetes running on Google Cloud Platform Kubernetes Engine