Software Engineer at Quantela Inc. (2023-07 – Present)
MP Bhulekh (QLR – Quantela Land Records) — Node.js, Express.js, PostgreSQL, AWS, Kafka, Angular, TypeScript, JWT, RBAC, Microservices, RxJS, NgRx
- Architected and delivered scalable full-stack applications using Angular, TypeScript, RxJS, and NgRx for state management alongside Node.js and Express.js, serving 100,000+ monthly active users on government digital platforms.
- Designed, integrated, and optimized 100+ RESTful APIs end-to-end across frontend consumption and backend response structures, reducing API response latency through caching strategies and efficient HTTP interceptors.
- Optimized Angular table rendering to process and display 30,000+ records using virtual scrolling and lazy loading, significantly improving perceived performance on data-heavy views.
- Reduced manual data-entry errors by an estimated 30% by integrating e-Basta download functionality and the DBDS platform for digitizing legacy land records.
- Implemented key land management modules including parcel diversion, Majra Tola (village-to-village transfers), Halka Bandi (location reassignment), and new revenue unit creation.
- Collaborated with cross-functional teams in Agile/Scrum sprints, participating in code reviews and contributing to CI/CD pipelines for timely, high-quality releases.
- Implemented a microservices architecture with independent services communicating via Kafka events for asynchronous processing, deployed on AWS infrastructure.
- Built Role-Based Access Control (RBAC) for Citizen, Government Department, Financial Institution, and Lok Seva Kendra user types, each with differentiated access to land record data.
- Optimized PostgreSQL queries and GIS workflows for a 40% performance gain; implemented Redis caching that reduced latency by 35%.
- Managed end-to-end module ownership including development, deployment, optimization, and production support, following Git-based version control and collaborative development practices.
Software Engineer at Quantela Inc. (2023-07 – Present)
MahaDBT 2.0 — Node.js, React, React Query, Redux, MongoDB, REST APIs — Maharashtra Government's Direct Benefit Transfer portal handling subsidies, scholarships, and welfare fund disbursements to citizens' bank accounts.
- Delivered the MahaDBT 2.0 upgrade — Maharashtra Government's Direct Benefit Transfer portal handling subsidies, scholarships, and welfare fund disbursements to citizens' bank accounts.
- Developed React components deployed as Liferay Client Extensions, embedding React UI directly inside the portal for farmer schemes, scholarship management, and social welfare disbursement modules.
- Built Node.js backend APIs using Liferay Objects for structured data management, enabling seamless CRUD operations tied to Liferay's native content model.
- Authored SRS (Software Requirements Specification) documentation for a scheme module, covering requirement analysis, functional specifications, and stakeholder sign-off.
- Independently designed and delivered a complete welfare scheme module end-to-end (React.js frontend and Node.js backend), leveraging AI-assisted development with Claude for rapid design, debugging, and documentation.
- Participated in Agile ceremonies, conducted SRS reviews, maintained JIRA/Confluence documentation, and led knowledge-transfer sessions on Liferay client extension development and API testing.
- Optimized API performance and database queries to ensure high availability for millions of citizens accessing welfare schemes concurrently.
