Work
  • Jul2023 - Present
    JP Morgan Chase & Co.
    Software Engineer - 1
    • On-Prem Application Rewrite: working on a re-write of a client application bringing in all the code & functionalities provided by the client on-prem, responsible for daily postions and funds calculation. Contributing on backend services which are responsible for loading data for calculations for about 5 major clients with almost 3-5Mbs of file (4k records per csv). Also contributing to build frontend components using React & Typescript

    • Secured Protocol Adoption: worked on adoption of various security protocols adoption in the middleware layer like Kerberos, to prevent any manual password checkout or password breech

    • Library Maintenance And Release: released multiple new version of Java library that is used by all the Java Apps in the ecosystem, with multiple remediation like password-less database checkouts and became POC for all the team for any troubleshooting

    • Research for NAS Latency: Build a demo ecosystem that take in the processed file via procedures and use on-prem buckets to store and retrieve eliminating NAS in the flow of deals, impacting fast delivery of almost 2k-4k files on a daily basis.

    • Unix Enhancement And Support: worked on various automation, bad code elimination for Unix ecosystem impacting 400-500 flows. Solved production support tickets.

    • Data Center Migration: built and maintained application servers for Data center migration for the middleware dealing ecosystem, resulting in automation of all the setups, 99 percent reduction of server log-ons by SREs, reducing risk of ”human errors” and enabled one click deployment and recovery of the ecosystem in case of DC disaster.

    Tech Stack: Amazon Web Services (AWS) · Java · DevOps · Terraform · Linux · Kubernetes · Spring · Spring Boot · SQL · React · TypeScript

  • Jan2023 - 31/07/2023
    FastHr.ai
    Devops Intern
    • Worked on scaling and policies modifications to optimize cloud resources. Contributed to building infrastructure and deployment of various components of Fasthr.ai, resolving deployment bugs and latency issues. Contributed to building infrastructure and deployment of various components of Fasthr.ai from scratch. The product was used by clients like: Recro, Simpl, moneyflow

    Tech Stack: Amazon Web Services (AWS) · Docker · Microsoft Azure · DevOps · Terraform