Working as a Full-Stack Developer; playing an instrumental role in driving technological innovation and operational efficiency.

Developing advanced features, APIs, and services, specifically tailored to streamline and automate various aspects of mortgage services.

Leveraging a versatile tech stack, including React for dynamic front-end interfaces, SQL for robust data management and C#/.NET for back-end development, I have consistently delivered impactful solutions that enhance the overall user experience within the mortgage service domain.

Developing new interfaces for the school's website using HTML, CSS and Javascript. Creating portals and designing graphics for event registrations and feedback. Ensuring website compliance, optimization as per design standards.

Working as Communications and Marketing Coordinator to liaison between management and faculties for events.

Devised Conditional Formatting v2.0 with customer-awaited features for table widgets. Developed production-ready code in React and Javascript along with building unit tests, snapshot and browser tests using JUnit, Jest and Enzyme for testing automation. Improved data observability of the product as per customer requirement and feedback.

Added a feature for building multi-valued widgets: Enabled accessibility to hide the expanded details in table widgets.

Completed end-to-end process of software development life cycle and deployed code on production.

Worked as a full-stack developer on data observability platforms structured with Angular, Typescript, Kotlin, MongoDB and GraphQL. Managed services across multiple clusters, designed UI/UX in Figma and revised functionalities.

Forged a new product ‘Dashplot’ which is a dynamic dashboard generator used for cloud based products at Acceldata. Dashplot serves as a platform for users to create customized dashboards, write queries to fetch data, creatively visualize it in variety of graphs and charts, import the widgets into dashboards, and arrange them anywhere in the dashboard using drag and drop feature. Received appreciation award from Senior Leadership people for this product.

Worked in the development of projects for Finance Data Lake of GE, interacting with its Hadoop and MemSQL storage.

SSS Feeds: Developed a multi-cluster interface in Scala for fetching & analyzing business-critical data of sales and purchases.

Developed a proxy interface for validating client-database connections with ability to handle more than 100 client requests

Developed a vehicle detection project in Python with histograms of oriented gradients and heatmaps.

Trained a support vector machine and used the sliding window technique to classify objects based on their features.