Portfolio | Arpit Bhullar

About Me

I am a passionate and dedicated aspiring Full Stack Developer driven by a vision to build impactful and innovative applications that make a difference. With hands-on experience in app development and a strong foundation in software development principles, I excel in translating ideas into functional, user-friendly solutions.

In my academic journey, my capstone project, BrainGym, earned 3rd place among all capstone projects in our class finals, showcasing my ability to combine technical proficiency with creativity. I am well-versed in various tools and technologies, including Swift, AWS, MongoDB Realm, Firebase, and machine learning modules like TensorFlow, which I’ve applied in building cognitive apps like BrainGym.

Beyond technical expertise, I bring strong leadership and collaborative skills to any team. I thrive in environments where problem-solving, adaptability, and continuous learning are key to success. My goal is to grow into a proficient full-stack developer and contribute to meaningful projects that positively impact users’ lives.

When I'm not coding, you can find me exploring new technologies, analyzing game designs, or enhancing my skills through self-learning and collaborative projects.

Technical Skills

Languages: Java, Python, Swift, C++, Kotlin
Machine Learning: PyCaret, Neural Networks, TensorFlow, Data Preprocessing
Database Management: Firebase, MySQL, MongoDB
Tools: Git, Docker, Jira, AWS

Projects

BrainGym App

iOS
Swift
Machine Learning

An iOS app enhancing cognitive abilities with interactive games and machine learning-based recommendations.

Click to open demo on YouTube! BrainGym App Demo

CENTS App

Budget Management
Finance
iOS

A budget management app enabling users to track expenses, set goals, and manage finances effectively.

Machine Learning Projects

Machine Learning
Data Preprocessing
CNN

Improved the performance of a machine learning model while working for a research company during my co-op terms. Due to confidentiality, details cannot be fully disclosed. These improvements were achieved through techniques like adding a sigmoid function, altering data preprocessing, and refining CNN architecture.

Hello, I'm Arpit Bhullar