● Contributed to the architecture and development of a high-scale live agent chat system integrated into ENO

(Capital One’s AI assistant)

● Led the development of a backend service enabling real-time message exchange between customers and agents,

using TypeScript, Fastify, and AWS ECS

● Built and deployed a message processing pipeline using AWS Lambda, SQS, DynamoDB, and Amazon Connect

facilitating asynchronous data routing to downstream services

● Proposed and implemented a DynamoDB indexing strategy, reducing query complexity from O(n) to O(1) in a

high-throughput live chat system

● Established an integration testing framework using Cucumber and Localstack, enabling reliable end-to-end

testing of AWS components

Cognixia’s JUMP program is a hyper-intense technical training program that gives top STEM talent across the U.S. the equivalent of 12-18 months of industry experience. Not only do they up-skill their

technical abilities, they also evolve their digital mindset to successfully adapt and utilize technology in an efficient manner so they can JUMP start their careers via deployment with Collabera clients.

● Created a web application using R and leaflet/shiny to display 5 interactive maps that showed relevant NYC public school data regarding STEM education, providing a UI to compare school demographics and STEM-related metrics

● Cleaned up and manipulated datasets in order to run statistical analysis, resulting in high-quality datasets with over 1000+ rows and 100+ columns

● Collaborated effectively with a development team using GitHub for version control, prioritizing the writing of readable, clean code to ensure seamless project handoff and facilitate future collaboration

● Tutored 15+ students on a weekly basis, facilitating their understanding of fundamental computer programming

concepts

● Conducted code reviews, identified bugs, and helped students debug their code

● Demonstrated effective communication skills to enhance student understanding