• Migrated the URL Shortener service to GoLang, resulting in a more robust and maintainable service, reducing average response time from 95ms to 17ms, and cutting active containers by 70%, by leading the development and testing of REST APIs, integrating middleware, building deployment pipelines, and managing error handling with zero downtime.• Spearheaded the integration of GraphQL as a client gateway interacting through gRPC backend services and the inherited legacy REST system, to solve for the latency issues between microservices, resulting in reduced response time and improved data retrieval processes.• Acquired security certifications [for backend, websites, application (iOs and android), AWS], by incorporating multi level authorisation and authentication, improving bucket level security, preventing MIM & CSRF attacks, and fortifying other security flaws. • Singlehandedly optimised the POST API using DB indexing, through CRC32 encryption, ensuring a secure and efficient data handling process, successfully reducing the response time from 85ms to 7ms.• Influenced and executed the reduction of tech debt across several services, enhancing code maintainability and mitigating potential security risks, by fostering a more streamlined and robust codebase, consequently improving team efficiency and reducing development time in future cycles.

• Lead the charters of client Macys and Bloomingdales (one of the largest affordable fashion retailer brands in America), managed the JIRA of data inflowing from various sources (clickstream(adobe), sales, orders, offers etc) through regular maintenance of cloud (AWS, GCP) for purposes such as analytics and auditing, which enhanced the customer experience.• Developed & implemented various scripts to transfer data from production teradata tables to the raw data tables by managing the job sequence in the scheduler of the control M jobs, tackling errors due to issues like low latency, mismatch of source data etc through SQL queries, procedure, routines etc.

• Built a machine learning model that can retrieve the similar articles about a famous personality given a dataset of wikipedia articles of famous people, involving steps like Data loading, Data preprocessing, Model Building and visualisation.