Software Engineer • Scientific Computing • AI • Bioinformatics
Turning scientific problems into software solutions.
I'm a software engineer with a dual background in Computer Science and Biochemistry, passionate about building software that bridges technology and science.
My interests include:
- Scientific Computing
- Artificial Intelligence & Machine Learning
- Bioinformatics
- Software Engineering
- Data Analysis
I enjoy building practical tools that solve real scientific and engineering problems.
Python application for retrieving and analyzing DNA sequences using the NCBI database and Biopython.
Tech Stack
- Python
- Biopython
- NCBI API
Built a neural network from scratch using NumPy, implementing forward propagation, backpropagation, gradient descent, and model training without machine learning libraries.
Tech Stack
- Python
- NumPy
- Machine Learning
Simulation of classic CPU scheduling algorithms including Round Robin and Shortest Job First.
Tech Stack
- Python
- Operating Systems
- Scheduling Algorithms
Scientific analysis of chlorogenic acid concentrations in apple peel extracts using HPLC calibration curves and chromatographic data.
Languages
Python • Java • C++ • JavaScript • PHP • SQL
Frameworks & Libraries
React • NumPy • Biopython
Tools
Git • GitHub • Linux • VS Code
🌐 Portfolio: https://jorgemarinez.github.io/
💼 LinkedIn: https://linkedin.com/in/jorgemarinez
📫 Email: jorgemarinez831@gmail.com

