- Developed and maintained Resolver Core using React.js, Node.js, and Go.
- Integrated Qrvey into Resolver Core, enhancing customer risk visualization.
- Developed a risk dashboard leveraging Qrvey data to improve risk assessment and decision-making.
- Implemented OpenTelemetry and integrated it with AWS to improve observability and development efficiency.
- Wrote comprehensive unit tests using Jest and React Testing Library to ensure software reliability.

- Led the development of talent, employee, and project management portals using React.js, Node.js, TypeScript, and MongoDB, increasing venture engagement by 3-4x.
- Implemented advanced filtering options and venture/artist management features for talent and employee portals (UTA Phonesheet/UTA Employees).
- Integrated Datadog RUM and OpenTelemetry (Jaeger) for real-time error tracking, enhancing system performance and reliability.
- Collaborated with the Product Manager and Scrum Master to refine user stories and define clear acceptance criteria.
- Provided mentorship to junior developers and conducted code reviews to ensure maintainability, scalability, and best practices.

- Led a team of 6-10 developers, driving the architecture and development of the TotemFi ecosystem.
- Designed and built the Totem frontend from the ground up using React.js and TypeScript.
- Developed backend services for the price prediction mechanism using Node.js and TypeScript.
- Managed blockchain integration, overseeing the TOTM token launch and implementing price prediction combined with TOTM staking using Solidity and Subgraph.

- Restructured the BI dashboard, optimizing chart visualizations using Angular and D3.js.
- Integrated Qrvey and advanced GRC handling to enhance platform capabilities.
- Developed and maintained Django backend, improving API endpoints and system reliability.

- Developed the frontend for Squibler using Angular.
- Contributed to TiltSuite, a full-stack project using ASP.NET Core 2.2, Angular 5, and SQL Server.
- Built a social feed application integrating the Twitter API using the MERN stack.