• Developing an application for Viasat to optimize the setup of subreflector, enhancing satellite communication signal strength. • Using PyQt to create an intuitive and responsive front-end interface for the application .• Utilizing machine learning models, including Linear Regression and RandomForest Regressor, to predict the optimal coordinates of the subreflector for achieving perfect signal according to specifications.

Tutored students on concepts related to various Computer Science course in topics such as Data Structures, Algorithm Designing and OOP to enhance the learning and problem solving of the student

• Developed a linear regression machine learning model using PyTorch to predict delivery time of Surgical equipment across the city, resulting in a 20% reduction in delivery time.• Implemented data processing and data validation techniques, to clean preprocess, and test the dataset.• Used SQL optimization techniques in MySQL database design, indexing, and queries for efficient data retrieval, resulting in a 20% performance improvement in handling cardiac stent inventory and buyer information.• Integrated the machine learning model into cloud(Azure) server through API to enhance easiness of accessibility, reducing operational costs by 15%.

• Contributed to the Adapters team by developing custom adapters tailored for Cisco and GitLab, enabling seamless integration of their network systems with the Itential automation platform.• Employed JavaScript for debugging Adapter code in accordance with customer-issued tickets on the Kanban board, while also engaging with customers to meticulously resolve specific issues.• Devoloped sophisticated API Builder software to assist clients in creating precise Open API specifications for adapter development, streamlining the complex process with advanced features and an intuitive user interface.• Explored ways to visualize and send a daily report of test results to team members using HTML,Javascript, and CSS

• Managed and mentored a group of 60+ students, collaborating with professors on course design• Taught human-centered design principles, spanning user research, prototyping, and project pitching.• Elevated student performance by 10% through personalized feedback and tutoring efforts.• Coordinated grading and feedback processes with fellow Learning Assistants for consistency.