Developed a high-impact microservice-based backend for disputes workspace, enhancing system scalability and reliability. Utilized Spring Framework and Hibernate to build robust services, integrated reactive programming for improved responsiveness, and applied Test-Driven Development (TDD) to ensure code quality. Led QA efforts and leveraged the ELK Stack for effective logging and monitoring, significantly improving application performance and issue resolution.

Backend development with Python, Django, gRPC, Async Programing

Collaborated with a team of backend engineers to enhance and expand our payment framework using Java,SpringBoot, and Redis, focusing on features like payments, withdrawals, and refunds.

Built, tested and deployed deep learning algorithms (e.g. LSTM) written in Python with Tensorflow to predict and mitigate cyber attacks on national water infrastructures.

Investigated the characteristics of auto-mobile crashes using several key national crash databases from NHTSA’s and applied multi-linear regression and multinomial logistic regression to build prediction models.