- Working on DIME(Data Insights Automation Engine) which is a comprehensive toolkit designed to make the entire lifecycle of data insight creation and management more scalable and efficient.- E2E Design (HLD+LLD) for Alerting & Telemetry Module - Leveraging this module data publishers visibility into the overall performance of data pipelines and get notified of issues before they affect downstream processes.- Worked on Query Templatization Service to port service to spark engine, since… Show more - Working on DIME(Data Insights Automation Engine) which is a comprehensive toolkit designed to make the entire lifecycle of data insight creation and management more scalable and efficient.- E2E Design (HLD+LLD) for Alerting & Telemetry Module - Leveraging this module data publishers visibility into the overall performance of data pipelines and get notified of issues before they affect downstream processes.- Worked on Query Templatization Service to port service to spark engine, since Data Warehouse was not able to scale causing slow execution , high cost and below par reliability. Show less

Worked as Senior Tech Risk Analyst in Investment Banking Division. I was part of Production Engineering team whose daily chores included handling all kind of system failures, upgrades and timely maintenance of applications plus ensuring the SLO proposed for systems are being met continuously without fail.

* Collaborate with other developers to design and implement the required solutions* Participate in pair programming in the delivery of both POC and targeted features* Understand and apply our technical architecture to ensure consistent, reliable, and secure deployments.

Project : Legal OneA Digital Platform to provide uniform and consistent approach and achieve excellence in managing Business. In LegalOne, I developed Policy Compliance Module from scratch for Samvardhana Motherson Group Clients using Java(Backend) and Angular(FrontEnd) for proper management of all legal compliances, registrations & licenses that are under acquisition or about to expire. Contributed in other modules and applied security in web application using JWT Token in Legal One.

Contributed in R&D related to Recommendation System. Improved the basic Matrix Factorization model in machine learning by adding biasing, temporal features thus lowering the root mean square error and which leads to increase in frequency match. The error is 1.0418 using Basic Matrix factorization and reduced to 0.939524 and observed the inherent advantages by predicting the closest value associated with the Matrix factorization approach.