Alwar, Rajasthan, India
As a Back End Developer at UIDAI, my focus has been on enhancing data accuracy and security through innovative tech solutions. Our team's work on secure API development using Java Spring Boot has integrated seamlessly with crucial government registries, showcasing my expertise in API development and reactive programming. With a BTech in Chemical Engineering from IIT Roorkee, my educational foundation complements my professional skill set. Leading the Aadhaar enrollment server revamp, we've significantly reduced processing times, directly impacting millions with more secure and efficient services. My drive is fueled by my commitment to impactful, secure software development.
Secure API Development: Engineered a secure API using Java Spring Boot, facilitating seamless integration with government registries such as Morth, Mnrega, and various banking systems. This integration ensured efficient validation of resident documents, enhancing data accuracy and security. Aadhaar Enrollment Server: Revamped the Aadhaar enrollment process by implementing robust biometric verification measures. This overhaul led to a significant reduction in enrollment and update times, ensuring secure and fraud-resistant transactions for millions of residents. Centralized Rule Engine Development: Led the development of a centralized rule engine based on Identity Access Management (IAM) and Policy-Based Access Control (PBAC). This system streamlined access controls and policy enforcement across various platforms, enhancing security and compliance. Rule Management Portal: Designed and implemented a rule management portal using React.js, providing users with an intuitive interface to define, manage, and monitor access policies effectively. Scanner Module Development: Developed a scanner module utilizing TWAIN in C++, enabling efficient and accurate document scanning capabilities, which integrated seamlessly with existing systems to enhance document processing workflows.
Contributed to the development of quality educational content
Contributed to the development of a custom classification architecture followed by deployment on server using Django
Worked upon a retail data-set with the chip category manager of the firm, who wanted to use the insight-based outcome from data for the next 6 months in her business. Performed data wrangling and analysis of data to determine the most effective and efficient driver for sales revenue. Then we selected the control store for each of the trial stores and looked at the effect of new layouts on sales, I had to take the help of statistical tools eg- correlation, Hypothesis testing, t-test, etc.. to get the job done. Finally Prepared a report to present the result of the analysis and recommendations to the manager.