Developed an agile retrospective tool (Async Retro), aimed at enhancing team reflections on past sprints. Retro, a lightweight solution, streamlines the retrospective process, enabling teams to gauge success more effectively. With features like appreciations, it boosts team morale and fosters a more agile environment. Currently in use by diverse subscribers from various organizations and educational institutions.Checkout the web app @ https://asynchretro.com/

• Introduced an agile framework and retrospective tool across many teams, built on Firebase with MongoDB, Express, React Typescript, and NodeJS, integrated with Stripe.• Helped build an AA-accessible Design System using React and TypeScript, employing a Micro-Frontend architecture for scalability.• Ensured RFC accessibility compliance, achieving AA standards, and enhancing UI/UX and performance metrics using Google Lighthouse.• Worked closely with product managers, UX designers, and cross-functional teams for effective collaboration and results.• Transitioned JavaScript code to scalable TypeScript platforms and resolved large-scale production issues through collaboration and Micro-Frontend architecture implementation.

• Created a Vue.js feedback portal with Arduino integration for real-time feedback relay, fostering immediate developer discussions for user experience optimization.• Successfully migrated accounts from Legacy Builder to Tower V2 under a year with seamless transitions and no impact to customer experience.• Revamped dashboards for various applications using Micro Front-end design with Gatsby, Typescript, and GraphQL.• Implemented Skipper for localized URL routing in 26 languages and 22 locales, all mapping to the same base app.• Ensured flagship website builder's compliance with AA standards of RFC Accessibility.

Full-stack web developer maintaining the legacy website WEBS.com, working on various technologies like React, NodeJS, Spring Boot, Javascript, Groovy, Grails. Responsible for maintaining various apps within the webs code base. Sunsetted it later.

My responsibilities as Machine Learning Engineer are to design efficient and optimal prediction models that recognize trends and patterns in the company's asset management data and makes sensible predictions for the future. I am given data models of various types for which I design prediction model that best fit each and every scenario. I thrive to make these models constantly self-adapting and precise.

Designed and revamped the internal productivity portal for the Enterprise division. I built a fully responsive single page app using AngularJS which tracks the user behavior and undergoes constant self-improvisation to adapt to its user's preferences. I also designed a stand-alone behavioral analysis plug-in for the portal for efficient user tracking. The data grabbed from the plug-in is then crunched by the Machine Learning backend model which makes suitable user based predictions that help reconstruct the personalization page.

I was a Teaching Assistant at George Mason University for the Spring 2017 semester handling CS310 - Data Structures in Java, which was one of the advanced courses at GMU. My responsibilities were to grade assignments, quizzes and to occasionally handle classes in the absence of the professor.

Designed and developed a Fashion based E-Commerce website using AngularJS. During my term, I designed a sophisticated filter based system to refine choice to the finest granular level using fashion icons. The website ran an artificial intelligence based wardrobe matching algorithm to find clothing suggestions based on the dresses that are available in the user's wardrobe. Neural Network was implemented on the back end for the system to learn the user's taste in clothes for an improvised shopping experience.

I designed and developed the web app using various front-end technologies like AngularJS, Bootstrap etc. The App helps improve a sense of community through lending/borrowing products instead of buy/sell. I worked with NeighbourBase as a Web Developer and, designed and built the E-Commerce website.

Designed front-end for a content management system using AngularJS. The CMS collects data from the server and lets the content manager manipulate the nodes to re-structure the skeleton of content mapping. The website keeps track of the changes and provides an interactive GUI for various drag n drop activities as well.

Android development. Developed 3 Android applications and 2 web based applications to ease the transportation of chennaites. Android applications consisted of the public transportation app, smart navigation app and intra college transportation app.

Designed a simple responsive landing page for the company using bootstrap and also implemented a payment gateway using stripe API's for customers to choose from the variety of plans offered by the company.