About Me
Hello! Hey there! I'm Ali Asgar Padaria, a passionate graduate student at Stony Brook University pursuing my M.S. in Computer Science. My journey in tech started with a B.Tech in Computer Science from Nirma University, where I built a strong foundation in software development and machine learning.
Currently, I'm diving deep into NLP and Large Language Models (LLMs), exploring how AI can revolutionize human-computer interaction. I've worked on projects ranging from an AI-driven financial management system to a real-time horse racing probability model and a miniGPT implementation for text generation. Alongside my AI and ML projects, I also enjoy building software solutions, some of which you'll find in the projects section below.
Previously, I interned at Johnson Controls - Hitachi, where I engineered a Bluetooth ecosystem for smart AC control, significantly improving communication efficiency.
When I’m not coding, you can find me buried in a book, exploring new ideas, or getting lost in a video game. I love the thrill of learning something new—whether it’s a complex AI concept or just a random fact that sparks curiosity!
I'm always eager to learn, build, and collaborate on cutting-edge AI and ML projects. If you're as excited about AI as I am, let's connect!
Experience
Research and Development Intern
Johnson Controls - Hitachi | Jan 2024 - May 2024
- Engineered an Android application in Java to control AC units via Bluetooth, replacing traditional IR remotes and improving communication efficiency by 40%.
- Integrated Bluetooth connectivity using Android libraries, ensuring seamless pairing and a 55m extended range in LOS conditions.
- Collaborated on firmware development using C and Simplicity Studio, optimizing Bluetooth communication between mobile devices and embedded systems.
- Adapted quickly to new technologies, gaining hands-on experience in Android development, embedded systems, and wireless communication protocols.
Projects
SpotiFind Rx
An AI-powered navigation aid for the visually impaired, featuring real-time object detection, depth mapping, and multilingual assistance. It integrates prescription OCR and intelligent medication verification for enhanced accessibility and safety.
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