Building the first AI powered broker for import tariff refunds.

Technologies used: Nextjs, React, Typescript, Python, FastAPI, Docker, LLMs

Built system tooling for Google Distributed Cloud Hosted (GDCH), a completely disconnected on-premises cloud solution targeted for governments and enterprises who need complete ownership of data.

Technologies used: Go, Kubernetes

Supported and implemented features on Amazon’s system of distributed services that are responsible for scheduling and optimizing physical deliveries for customer orders.

Technologies used: Java, Ruby, Python, SQL, Linux, Big Data, SOA, AWS

• Gathered user requirements for data acquisition and visualization (analytics) and prototyped user interactions and experience for analytics.

• Implemented analytics module for the platform, including database scripts, api endpoints and frontend data visualization components.

• Individually rewrote database, backend and frontend architecture in Docker, resulting in a significant reduction in developer on-boarding time and providing resilient systems for the cloud.

Technologies used: Python, Angular, TypeScript, PostgreSQL, Docker, HTML & CSS.

• Gathered user requirements and designed data models on PostgreSQL for the core product.

• Implemented the core product as a full-stack web application using Ruby on Rails and React.

• Deployed the web application to AWS Elastic Beanstalk, growing from 0 to 100+ SMBs on the platform.

Technologies used: Ruby on Rails, React, AWS.