Founded Studeliver, a peer-to-peer food delivery platform focused on providing affordable, fast, and convenient meal delivery for students living in dorms, nearby apartments, and study spaces. Studeliver is built on a community-driven model where students deliver to their peers, significantly lowering delivery costs and promoting flexible student employment opportunities.Key initiatives and accomplishments: • Developing a platform tailored to the unique needs of college campuses, including accessibility features for students with disabilities. • Establish partnerships with local restaurants to support low-cost, campus-specific delivery. • Focused on scaling operations across multiple campuses, with a target of 500+ active users in the first quarter.Driven to make campus life easier and more accessible for all students.

- Algorithm Reproduction: Reproducing results from advanced research papers in the field, with a focus on achieving consistency and reliability.- Technical Implementation: Utilizing PyTorch and Torch-Geometric to implement models and reproduce complex algorithms, contributing to the project’s technical foundation.- Weekly Collaboration: Engaging in weekly progress updates with the team, allowing for regular synchronization and insights on development strategies.- Research Contributions: Exploring innovative research ideas during the reproducibility phase, with the potential to co-author a research paper as part of our ongoing package development.

During my internship at Jio Industries, I had the opportunity to work in a dynamic and fast-paced environment, gaining hands-on experience in developing and deploying machine learning models to solve real-world business challenges. I collaborated closely with data scientists, software engineers, and product teams to create data-driven solutions for various projects. My experience included the following key responsibilities and contributions:Automated repetitive data processing tasks with Python scripts to enhance operational efficiency.Optimized ML pipelines, reducing training time by 20% through code refactoring and parallelization.

Developing and leading Relntern , an intern management system for Reliance industries. This system would manage over 1000+ interns at Reliance.

Working with the Petchem IT team.

Designed proposals, a business model, and prototype samples for a network growth tracking app for the Air Force Research Lab Midwest Regional Hub.Participated in weekly meetings to discuss app design features and financial model with project team.Showcased and pitched project at Purdue's Venture Challenge.

Confuzed Net is a tech consulting firm and specializes in suggesting to our customers the best possible product they can purchase based on their workload and budget constraints. -Confuzed Net aims to remove the potential confusion in purchasing decisions due to the number of companies selling numerous products at the same price range.