Sep 2022 – Apr 2023 · 7 mos · Pune, Maharashtra, India · Remote

• Led a year-long project focused on predicting system resource utilization to optimize the scheduling of resource-intensive tasks.
• Analyzed the Google Cluster Data (GCD) dataset, which includes CPU and memory utilization of 1,600 virtual machines, by aggregating consumption data every 5 minutes over a 10-day period.
• Developed and implemented advanced machine learning models, time series forecasting techniques, and LSTM networks to accurately predict future resource utilization, achieving accuracy levels between 95% and 99% for each virtual machine.
• Designed and developed an interactive ReactJS application to visualize real-time and predicted resource utilization, enhancing user experience with dynamic, user-friendly features.

Jun 2022 – Aug 2022 · 2 mos · Pune, Maharashtra, India · Hybrid

• Developed a mobile hotdesking application that allows users to book office seats efficiently. Built using React Native and integrated with Android Studio, the app provides a seamless user experience for reserving desks in the office.
• The application was designed to streamline seat management, offering features such as real-time seat availability, booking notifications, and an intuitive interface for users to select and reserve their desired workspace.

Oct 2021 – Feb 2022 · 4 mos · United States · Remote

• Contributed to the development of the organization's customer-facing page using React. I collaborated with the development team to design and implement dynamic, user-friendly features that enhanced the user experience.
• My responsibilities included building responsive components, optimizing performance, and ensuring seamless integration with backend services.
• This experience allowed me to deepen my React skills while directly contributing to improving the company's online presence and customer engagement.