Driven to deliver innovative solutions, I leverage my 6+ years of experience in various tech stacks to create high-performing, user-centric projects across multiple industries including finance, operations, and logistics.
August 2022 - Present
September 2019 - August 2022
April 2017 - September 2019
Mongo Atlas: I optimized the queries to move from a M20-M30 atlas cluster (costing around .2$/hr) to a M10 cluster (costing around 0.08$/hr) and optimized most of our API endpoints with p95 below 500ms.
Koa, Jest, REST: I lead the introduction of TypeScript to old services, improved test coverage, introduced linting and formatting rules.
DataDog: Prior to DataDog, we were relying mostly on GCP logs for analyzing production issues and using slack alerts via code. As a part of this, we introduced SLOs for many of our services and made sure the SLAs are met, we introduced a lot of monitors to be alerted and respond as early as possible.
As a part of HFC, starting from scratch we developed a lot of apps and for that we tried to adopt agile principles as much as we could, adapted them to fit our requirements, and introduced retrospectives bi-weekly.
As a part of HFC, we were using the concept of service owner and as a service owner I had a major role as a developer for 3 services of which 2 were backend service while one being a full stack React based app using Firebase as a DB. As a service owner I kept SLAs in check and made sure new features are rolled out in good quality within the deadlines along with my awesome team.