— Increased the speed of Ticket Search by 6 folds.

— Created a fully functional back-end for a Learning Management System that integrated event-sourced payments, ordering, and meeting functionality; with over 33000 lines of code and 100 RESTful endpoints.— Strengthened our team’s agility through the introduction of test-driven development and type-driven development, resulting in reduction of bugs and better intent delivery. Which was evident in the development of a first feature-full prototype within a three-month period in a team of… Show more — Created a fully functional back-end for a Learning Management System that integrated event-sourced payments, ordering, and meeting functionality; with over 33000 lines of code and 100 RESTful endpoints.— Strengthened our team’s agility through the introduction of test-driven development and type-driven development, resulting in reduction of bugs and better intent delivery. Which was evident in the development of a first feature-full prototype within a three-month period in a team of two.— Expanded the product-range that our team could offer by pitching Rust as a means of developing low-latency software without the costs associated with identifying and fixing memory-safety bugs. And personally, initiating and developing 2 core products in Rust.— Decreased the revisions after each pull request by more than 80% by establishing and fostering pair programming routines in our team. Show less

— Prevented potential loss of information by tracking down more than 20 data-races that could lead to data inconsistencies.— Decreased infrastructural costs by 2-3% and enhanced the efficiency of server applications memory usage by 43%-50% by cutting memory allocations.— Reduced maintenance costs by reducing dependencies on external packages, as is evident in ~23% (1.1 MB) reduction in binary size in one core server application. — Improved my knowledge of unconventional… Show more — Prevented potential loss of information by tracking down more than 20 data-races that could lead to data inconsistencies.— Decreased infrastructural costs by 2-3% and enhanced the efficiency of server applications memory usage by 43%-50% by cutting memory allocations.— Reduced maintenance costs by reducing dependencies on external packages, as is evident in ~23% (1.1 MB) reduction in binary size in one core server application. — Improved my knowledge of unconventional uses of Redis, data modeling in NoSQL and working with MongoDB, RBAC and NATS. Also gained experience dissecting large enterprise legacy code bases. Show less

To Dr. Setareh Mokhtari for research on applications of Bayesian Inference for Behavioral data.

I work at Boomgostar as an trainee architecture.