Hiii there :3
I'm Carl, a programmer (mostly) & hardware designer (slightly) who happens to be a car enthusiast (stubbornly). Sometimes a mechanic (samaritan) that breaks your car to fix my code.
Currently, I am working as a Quantitative Research Intern with a passion for technology and a diverse skill set in Machine Learning, Data Analysis, and Software Development. I hold a comprehensive background in Computer Science, Electrical and Computer Engineering, Information Science, Mechanical Engineering, and Business from my studies.
Autonomous Vehicles | Software Engineering | Algorithms | Machine Learning | Hardware Design | Computer Vision | Quantitative Research
- Programming Languages: Python, C/C++, Java, SQL, JavaScript
- Machine Learning: PyTorch, TensorFlow, scikit-learn
- Data Analysis: Pandas, NumPy, SciPy
- Hardware Design: Pipeline Profiling, Raspberry Pi, Arduino
- Interactive Device Design: Sensors, Actuators, IoT, Vehicle Engineering
- Computer Vision: OpenCV, Keras, YOLO
- Human-Computer Interaction: UX/UI Design, Prototyping, Figma
- Urban Technology Impact: Smart Cities, Sustainable Tech, Transportation Engineering
- Tools: Git, Docker, Kubernetes
- Frameworks: Qt, Gymnasium
- ROAR_Py: A novel control suite for Reinforcement Learning supporting Gymnasium API.
- Kubernetes Cluster for Real-time Llama 3 (8B) Inference: Deployed on a stack of 4 Raspberry Pi 5 devices.
- Low Bit Quantization in Machine Learning: Research paper focusing on extremely low bit-widths in ML architectures.
- Autonomous Indycars: Racing Indy Cars on the track without human operators.
Feel free to explore my repositories and connect with me!