▪ Automated Reporting: Developed tool for automatically generating reports of untranslated code based on semantic translators.▪ Code Analysis: Created tool for analyzing 100% of client code bases to generate detailed reports on code patterns by using regular expressions to extract components from various code files.▪ Software Engineering Tools: Underwent extensive training on DMS, a sophisticated software engineering environment designed for formal software design and incremental automatic code transformation. Applied DMS in real-world projects, leveraging domain knowledge to enhance software production and maintenance. Gained hands-on experience with PARLANSE, the proprietary compiler used in DMS.Utilized PARLANSE to achieve fine-grained parallelization and improved performance in software compilation and execution.

▪ Worked on internal application and backend code by integrating Google Maps API, that streamlined business decisions for 1000 employees underscoring my analytical skills.▪ Created a resilient CI/CD pipeline employing Vue.js, Node.js, Typescript and JavaScript, by integrating with Firebase and GCP. ▪ Optimized application encapsulation and workflow efficiency for bank accounting data using Docker.▪ Spearheaded automated testing using the JEST framework, resulting in 100% elimination of manual testing.

▪ Developed and maintained 20 websites and Qualtrics surveys in HTML, CSS, JavaScript.▪ Reduced code duplication by 20%, enhanced website loading speed by 60% through code redesign, debugging and bugs fixing, and improved readability. Also, created reusable code for future development.▪ Led a team of 3 software developers and collaborated with 6 professors in developing their research lab websites.▪ Utilized the agile methodology to ensure effective requirements gathering, planning, design, and deployment.

▪ Developed a crop-based marketplace web app using Django by incorporating Weather and Fast2SMS APIs providing real-time weather alerts and crop health, resulting significant increase in crop production.▪ Enhanced crop suggestions and regional SMS alerts by refactoring code.▪ Configured Kubernetes clusters, optimizing application scaling and management for a 20% efficiency gain.▪ Boosted crop yield performance by providing precise training to a Machine Learning Model (Random Forest Regressor) for crop growth prediction.

▪ Integrated Node.JS and Express.JS framework to build server-side logic and applied with middle wares to handle http requests. ▪ Constructed non-functional HTML, CSS pages from the mock-ups & involved in UI review with UI architect and Business units.▪ Adopted Firebase for data storage, designed different schemas and data access services to communicate with Firebase.