Contributed to the advancement of SafeAi's proprietary fleet management software, facilitating seamless operations and enhancing overall efficiency in mining and construction environments.Orchestrated the development of an event replay service, meticulously translating past vehicle events into comprehensive time series data by leveraging merge intervals.Architected and implemented a powerful reporting engine, enabling real-time tracking and analysis of alerts, assignments, and other crucial metrics for our autonomous vehicle fleet.

Leveraging the previously developed GoPay solution, I spearheaded the creation of a unified payment platform across all company channels. This involved architecting and building the system, implementing queuing mechanisms, and integrating message brokers for efficient handling of all payment-related events within a central state machine. Additionally, I constructed a central settlement service for distributor and retailer settlements, and introduced an offer service to provide bank offers to customers using credit and debit cards.

As a full-time Software Engineer, I developed GoPay, a link-based payment solution offered to thousands of offline retailers' customers, empowering them to compete with major players like CROMA and Sangeetha. This involved seamless integration with multiple NBFCs and lenders to facilitate financing options for retailers' customers.

During my internship, I automated test flows for Application UIs using Cypress and Puppeteer. Enhanced success rates by integrating downtime APIs from all utilized payment aggregators.

As the Chapter Leader for CodeChef, I took on the responsibility of promoting the practical significance of learning Data Structures and Algorithms while actively encouraging student engagement in CodeChef and various coding competitions.Through the establishment of the official campus club at SRM, I organized numerous coding workshops, coding contests, and even a hackathon, fostering a vibrant coding culture within the college community.

Collaborated with a team of software developers to process real-time drone data into robust AI models aimed at predicting plant diseases, thereby enhancing crop production outcomes for our clients.In this role, I led the development of the user interface and a significant portion of the backend infrastructure for the administrative aspect of the software. This included functionalities to generate reports and display charts, providing valuable insights to users.

During my tenure as a Summer Research Intern under the guidance of Dr. Shirshu Varma, Associate Professor at IIIT-Allahabad, I focused on visualizing sensor data as time series. My key responsibilities included:Processing and refining sensor data utilizing the pandas library in Python.Creating fundamental plots such as line charts and box plots using the matplotlib library in Python to visually represent the data.Exploring the loaded data as time series through the construction of auto-correlation plots and seasonal decomposition plots.Analyzing the generated plots to identify trends, seasonality patterns, and other relevant insights.