I'm a passionate learner and developer with a strong foundation in Data Science and Python, currently expanding my expertise into Rust and Java. My main focus is on the simulation of semiconductor devices, where I combine programming, physics, and numerical methods to explore and model complex physical systems.
- π Data Science with Python: I use libraries like NumPy, Pandas, Matplotlib, and SciPy for data analysis, visualization, and scientific computing.
- π§ͺ Semiconductor Device Simulation: I'm deeply interested in modeling the physical behavior of semiconductor materials and devices using computational techniques.
- π¦ Learning Rust: Exploring Rust for its performance and memory safety, especially in the context of high-performance simulations.
- β Studying Java: Focusing on object-oriented programming and data structures, with an eye toward backend development and simulation frameworks.
- Computational physics and numerical modeling.
- Semiconductor physics and charge transport.
- High-performance computing and code optimization.
- Scientific data visualization and analysis.
- Open-source contributions in scientific computing.
- Languages: Python, Rust (learning), Java (learning), some C/C++. Scientific Libraries: NumPy, SciPy, Matplotlib, SymPy, Scikit-learn. Tools: Jupyter Notebooks, Git, VS Code, Linux. Simulation: Exploring tools like COMSOL, Silvaco, and building custom simulation scripts.
Feel free to reach out or connect with me:
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/
- π¦ Twitter/X: @yourhandle
- π Portfolio/Website: yourwebsite.com
