Increased user acquisition by 200% leading the development of authorization of Google One Tap Login and OAuth account creation workflow on Ruby on Rails & NextJS

Secured our application flow with its implementation of JWTs when requesting user-sensitive data from our Backend server to Front-end Client

Increased user engagement tracked via events by 50% leading development on a global search for relevant Events, Hotels, Activities, or Restaurants.

• Led team to convert parts of our applications from server-side rendering to React leveraging Redux & Context API for the Data Delivery Dashboard for a more streamlined and reactive experience

• Led junior engineers and designed an internal application for employee recognition, quarterly performance reviews, and collaborative 1-1 meetings utilizing web sockets. The application was a success and we were in the preparation stages of planning to sell it.

• Enhanced and accelerated API performance on Rails, leveraging Elasticsearch from our data lake. Resulting in 30% decrease of latency and increase of 200% of load after testing.

• Architected new Integration Pipeline utilizing parallel testing improving 60% (1 hour) on our CI/CD test suite

• Integrated AI solution using Large Language Models, including OpenAI's Whisper, to provide our analysts to deliver insights across multiple languages.

• REST API Development and Database architectural schema (Postgres & Golang)

• Created beautiful applications for client-facing users as well as internal users, including an admin dashboard interface, data entry interface utilizing React and Angular

• Developed and was involved with prototyping IoT and backend servers for applications that were used in the museum's interactive high-tech exhibits, that used RFID, sensors, and Raspberry Pi's

• Championed in migrating from monolith architecture to microservices leveraging Docker, Docker-compose, and Kubernetes saving resources and implementing fail-safe measures

• Developed and implemented piece-wise hashing algorithms in order to fingerprint messages containing

risk for spam and viruses

• Leverage Python feature extraction as well as data visualization packages in order to accurately

aggregate and perform detailed analysis on a huge cluster of data

• Data Lake aggregation and visualization using AWS Athena and Tableau leveraging advanced SQL

queries, identifying hotspots in data and risk for our clients

• Developed UI for analysts and reviewers to mark messages that got past our filters enabling them to

identify riskAWS Athena and Tableau leveraging advanced SQL queries