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Projects

I have always been good at not only understanding lectures but also putting them in use. Thanks to the combination of years of gaming and programming experience, I took the first steps of a long journey in Software Development. Along the way, I explored other areas of computer science as well.

UniMenti (Student-Mentor Matching)

Cofounder, Full-Stack Developer

I designed and developed a web application to enable high-school students to meet with experienced university students. Also, I implemented features for login, register, authorised access, searching and sorting of members while storing all the information in an SQL database.

Patient Data Management System

Full-Stack Developer

I Designed and developed a web application for managing patient data using Java, Maven, and MVC principles. Also, I Implemented features for uploading CSV files, converting it to a JSON file, sorting and searching patient information, a comprehensive patient profile interface for detailed data viewing and generating visual graphs with intuitive navigation.

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Panic In Space

(3D LAN CO-OP GAME)

Programming Team Captain

With the executive team of Game Design Club at my high school, We designed the beta version of a local online two player game under 3 days with a team of 5 for Global Game Jam. In the game, you are 2 astronauts trying to fix your spaceship by completing a set of minigames each of which requires great deal of cooperation

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The Ball Game

(2-D Platform Game)

Programmer, Designer

I integrated AI into a well-known platform video game by putting automated pathfinder algorithms for enemies. Enemies are able to draw themselves a path to reach the player. The player's job is to dodge all enemies and touch the green hexagon.

Classifying Knee X-Rays into Different Categories of Knee Osteoarthritis

Researcher

I completed research program within 10 hrs/wk, 24 wk/year with a grade of 92.5/100 in the top 10% of the program. The research paper is on utilizing machine learning to label knee osteoarthritis into 3 classes with greatest efficiency by checking F1 scores after alterations such as image augmentations, model changes.

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