I work at the intersection of physics, mathematics, and software engineering, with a focus on quantitative finance, financial modeling, and machine learning. My projects involve building models from first principles, validating them rigorously against data, and iterating based on performance and risk analysis. I have hands-on experience implementing machine learning and statistical models from scratch and integrating them into production-ready systems, with an emphasis on correctness, efficiency, and real-world applicability.
// C++
class SoftwareEngineer {
public:
string name, degree, contact;
vector<string> role, tech_stack, languages;
SoftwareEngineer() {
name = "Tyler Pruitt";
role = {"Quantitative Researcher", "Quantitative Developer"};
degree = "BS, Physics";
tech_stack = {
"Python",
"C++",
"C#",
"JavaScript/TypeScript",
"MATLAB",
"SQL/MySQL",
"HTML",
"CSS/SCSS"
};
contact = "tylerpruitt@ucsb.edu";
languages = {"English", "Mandarin"};
}
};- Python
- C++
- C#
- JavaScript/TypeScript
- MATLAB
- SQL
- MySQL
- PostgreSQL
- HTML
- CSS/SCSS
- .NET
- Flask
- Pytest
- NumPy
- Pandas
- SciPy
- Matplotlib
- Tensorflow
- PyTorch
- AngularJS
- React
- Node.js
- Qt
- Boost
- Git
- GitHub
- Bitbucket
- GitKraken
- Spyder
- Jupyter NoteBook
- Markdown
- Visual Studio Code
- Visual Studio
- Azure Data Studio
- MS SQL Server
- AWS
- Postico
- Docker
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