Data intelligence tools for health systems to optimize patient engagement

• Constructed scalable architecture with Python, AWS Lambdas, and Kafka to integrate with a third-party EHR API for processing millions of real-time clinical records. Increased efficiency of onboarding new clients by 20%.

• Built data ingestion pipelines using Python and AWS Lambdas for ingesting 100M+ daily rows of patient and appointment data. Resulted in onboarding 3X more clients.

• Replaced an expensive legacy product with a modern application for health system call agents. Participated in all aspects of fullstack feature development using React, TypeScript, GraphQL, and SQLAlchemy. Launched beta version in less than 2 quarters.

• Facilitated seamless collaboration across departments to release new features while maintaining product usability across 15 major health systems.

A BNPL (Buy Now Pay Later) engine for wholesale payments between buyers and suppliers

• Accelerated new customer onboarding by 50% through the implementation of internal dashboards with Vue.js and Axios, empowering sales teams.

• Improved scalability of order and transaction system by architecting 2 new microservices, reducing bugs at critical points in the order lifecycle.

• Maintained robust testing standards by writing Jest tests for GraphQL and RESTful APIs, boosting microservices test coverage by 70%.

• Eliminated inconsistencies in transaction amounts charged to customers by creating a new data model.

Built APIs and services using TypeScript, Node.js, and GraphQL.

CorvoStore is an in-memory, key-value database store inspired by Redis and written in JavaScript and Node.js.

• Developed in-memory key-value data store inspired by Redis. Created core underlying LRU data structure that meets time-complexity benchmarks for O(1) operations.

• Engineered a server matching Redis command API, ensuring seamless interoperability with Redis command-line interface.

• Designed underlying data structures for storing 5 data types as values. Achieved time complexity parity with corresponding data types in Redis for operations.