Improved user engagement by 30% by designing modular frontend and backend generic components and creating responsive user interface for user account navigation. Tech Stack: NextJS, NodeJs, Fastify, GCP.
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Demonstrated 70% increase in website performance by conducting a case study using chrome lighthouse tool and improving web caching, image optimization, code compression and software architecture design
Contributed to the boost in client's Q4 2020 revenue by building new software for Curbside Pickup at the store. The software accounted for a 21% increase in digital sales & improved customer experience by 85%.
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Responsibilities included developing cloud application for mobile browser and supporting go-live releases.
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Received P&R Q3 2020 Award for contribution and stellar performance in the Curbside Pickup project.
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Facilitated enhanced business decisions by building an ML model to predict the COVID-19 situation around departmental stores in the country. Engineered core data analytic engine and frontend UI dashboard.
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Increased the retail supply-chain system efficiency by 60% by transforming legacy applications to modern microservice architecture using Java, Spring boot, ReactJS, and Google cloud technology stack.
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Received "Certificate of Recognition" for outstanding contribution in Q2-2019 Macy's Catalog project.
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Accelerated testing between microservices by integrating contract testing framework in CI/CD pipeline.
