Implemented 6 core sorting algorithms that visualizes elements from an array being sorted in real-time. Features implemented can modify size and elements in array, change sorting speed, and more. This project strengthen my understanding of core sorting algorithms.

Implemented depth-first-search pathfinding algorithm that is visualized on a grid. Includes features such as barriers and an option for adjusting start and end points that can be preset. This project strengthen my understanding of core pathfinding algorithms.

I developed a game predictor utilizing a logistic regression machine learning model to forecast NBA game outcomes. This tool saved me valuable time by eliminating the need to watch games just to see if my favorite team would win. I gained valuable experience in data scraping, developing Flask APIs, external APIs, and working with machine learning models.

Driven by the goal of efficient organization, I developed a comprehensive NBA player database. It features column-based sorting and multi-attribute player search functionality, allowing quick access to relevant information. With real-time updates upon website refresh, the database accurately reflects player trades, additions, and removals, showcasing my expertise in database management.

I participated in the 48-hour Shammy Game Jam game development contest. The primary objective of this project was to enhance my understanding of object-oriented programming while also competing for first place. The resulting game, called Battle Conquest, immerses players in infinite waves of enemies and offers opportunities to upgrade their character as they progress. The ultimate goal is to reach the highest level possible and maximize player upgrades.

While as a research assistant in NOME lab, I was tasked to automate the process of extracting scalebar measurements from microscopic cavity images. The process involved several steps involving the implementation of the EAST algorithm and OCR. I developed a strong foundation in computer vision using Python and gained extensive experience with libraries such as NumPy, scikit-learn, and matplotlib, enhancing my skills in image processing and data analysis.

The Desai Accelerator is a startup incubator that helps early stage startup grow their brand and project. The accelerator also teaches valuable entrepreneurial lessons and skills that companies can apply to their own business. At the Desai Accelerator I was the lead software developer tasked with managing software related projects from 5 different tech based startup companies. Each day I was able to find solutions to software relate problems, communicate with other software developers, schedule and lead meetings, and create/improve unique software products.

The NOME lab, housed within the Nuclear Engineering department at the University of Michigan. The department has been ranked #1 in the world for nuclear engineering. During my time at the NOME lab, I developed a image-processing algorithm that automates the extraction of scale-bar image data, significantly enhancing the efficiency and accuracy of future lab implementations. Additionally, I successfully managed a comprehensive database comprising 250+ scale-bar images, providing a valuable resource for ongoing research and analysis within the lab. By implementing my algorithm, the NOME lab has witnessed improved productivity, reduced manual effort, and minimized potential errors, allowing researchers to focus on critical aspects of their work.

I am a fellow of the Entrepreneur Leadership Program, a prestigious initiative that offers intensive training and mentorship to a handpicked group of students. This exclusive program aims to cultivate exceptional functional, managerial, and leadership skills, setting apart the truly outstanding entrepreneurs from the rest. While part of ELP, I have been fortunate to receive a comprehensive experiential curriculum that empowers me to pursue an entrepreneurial path both during and after my college career at the University of Michigan. I am currently part of Cohort 8, an esteemed group comprising 20-25 students, selected from an acceptance rate of less than 15%. Being a part of ELP allows me to delve deep into the qualities and characteristics that define great entrepreneurs and leaders.

MPowered is a student-run flagship entrepreneurship club at the University of Michigan, backed by the Center for Entrepreneurship. Throughout the year, our club orchestrates 6 events that serve as catalysts for inspiration, innovation, and entrepreneurial spirit across the university campus. As a director, I collaborate closely with the Center for Entrepreneurship to organize an Innovation Challenge event, attracting 100+ students from all 19 colleges within the university. Additionally, I successfully contributed to the success of the Start-Up Career Fair, leveraging my skills to cold email and foster meaningful connections with various companies, aiming to secure their participation in the event.