Hi, my name is
Alex Lin. Software Engineer, ML/AI Practitioner
I am an aspiring software engineer experienced with the MERN stack, systems engineering, and machine learning. I am always looking to collaborate with companies, researchers, or peers who share my drive for innovation.Let's create something amazing together.
01. About Me
Welcome to my portfolio! **based off and inspired by Brittany Chiang
I am a junior at Brown University majoring in computer science and applied mathematics. Beyond the classroom, my interests encompass engineering and entrepreneurship, and I thrive on projects that blend hardware and software.
In my free time, you can catch me on the tennis courts, exploring the globe, and hunting down hidden gem restaurants wherever I go. I also dabble in real estate as a licensed real estate agent. Stay tuned for updates on my latest projects - this page is always evolving!
Here are the technologies I have been working with:
- MongoDB
- Express.js
- React.js
- Node.js
- Next.js
- Tailwindcss
- Typescript
- Pytorch
- C/C++
- Python
- Go
- Wireshark
02. Here Are My Experiences
- Job 1
- Job 2
- Job 3
Research Programmer @ Boston Fusion Corp
Jun. 2023 - Aug. 2023
- Implemented a state-of-the-art object detection pipeline.
- Enhanced and implemented machine learning models, complete with a tailored API for conducting remote server inferences.
- Investigated the application of transformers and masking techniques for novel object detection in images through extensive literature review and experimentation.
- Designed the baseline system for Boston Fusion's research proposal to DARPA's broad agency announcement ECOLE.
03. Latest Projects
Featured Project
Squatty
Squatty implements pose detection to track squats and record your squat count. A punishment mode can be activated, "encouraging" you to complete squats at specified intervals. Keep squatting, or you'll feel the consequences! ** the water gun is triggered automatically
- Tensorflow Keras
- Mediapipe
- Multithreading
- Arduino
- Python
Featured Project
Efficient Vision Model Analysis Pipeline
The pipeline aims to coalesce the difficulty of analyzing different off-the-shelf models with a single framework to quickly switch models and datasets in order to get to the important task: gathering data. This project was completed under the guidance of Boston Fusion Corp and aids in their completion of their proposal funded by DARPA's BAA Ecole.
- YOLOv7
- Pytorch
- FiftyOne
- CVAT
- NVidia Triton
0.4 What's Next?
Get in Touch
Seeking Internships for Summer 2024I am currently looking for roles in software engineering, systems engineering, and ML/AI. Always feel free to reach out, I'd love to chat!