During my internship at Loopack, I engaged in various aspects of software development, contributing to a new frontend system and recreating the entire backend systems. My primary focus was on designing and implementing robust software solutions, which included:- Software Design: Design future-proof, scalable and maintainable software architecture, ensuring optimal performance and usability.- Full Stack Development: Developed and integrated features across the full stack, from frontend user interfaces to backend services using, utilizing NextJS and Node.js- Embedded Systems: Experimented with RFID firmware and camera sensors, integrating these technologies into the system to enhance existing functionalities.- Database Design: Designed and optimized database schemas to support application requirements, ensuring data integrity, efficient access patterns and modularity.- Supabase Integration: Leveraged Supabase to host the database and implemented business logic directly on the database side, enhancing security, performance, and maintainability of the application.- Outcome and Impact: Delivered a comprehensive software solution that improved system performance and reliability, provided valuable insights into hardware-software integration, facilitated effective data management, and designed a scalable software solution that can be easily maintained and extended.This experience enabled me to deepen my expertise in software and database design, full stack development, and the integration of hardware components, while contributing to Loopack's mission to solve the disposable problem, once and for all!

During my internship at Synopsys Inc., I was involved in the exploration and implementation of data visualization tools using Grafana. My primary focus was to develop a series of informative dashboards to display test statistics for the company's IP's. This project included:- Data Analysis and Integration:Analysis of test data, integrating it into a PostgreSQL database for efficient querying and management.- Dashboard Development: Created interactive and customized Grafana dashboards to visualize key metrics, such as test success rates, team performance, and test server health indicators.- Methodology and Collaboration: Employed Agile methodology to manage the project, ensuring iterative development and continuous feedback from team members and stakeholders.- Technical Implementation: Utilized technologies like Python and JavaScript for data processing and plugin development, enhancing Grafana’s capabilities to meet specific project requirements.- Outcome and Impact: Delivered a robust and scalable data visualization solution that improved the efficiency of test data analysis, provided actionable insights, and facilitated informed decision-making within the team.This experience allowed me to apply and enhance my technical skills in data visualization and database management while collaborating with a leading technology company.