Hi there! I'm a dedicated Computer Scientist deeply passionate about leveraging technology to make a positive impact on the world. With a keen interest in Machine Learning, Artificial Intelligence, statistics, and neuroscience, I'm constantly exploring the intersections of these fields to uncover innovative solutions to real-world challenges.

Driven by a relentless curiosity and a love for learning, I thrive in environments where I can continuously expand my knowledge. My ultimate goal is to use my expertise to empower others and contribute to the greater good, as I firmly believe technology has the power to transform lives.

📫 You can reach me via:

Telegram: https://t.me/jac_0204

Email: josea.concepcion.alvarez@gmail.com

🎓 I hold a Bachelor's degree in Computer Science from the Faculty of Mathematics and Computer Science (MatCom) at the University of Havana.

👨‍🏫 I am also currently working as an Assistant Professor at the university, where I teach subjects related to Programming and Data Processing.

🌱 I'm passionate about tackling challenging problems and continuously learning new technologies. My current focus areas include Machine Learning, Software Development and Neurosciense.

💡 Thanks to my strong foundation in Computer Science, I have a proven ability to learn quickly and adapt to new tools and frameworks as needed for any project.

I am proficient with a variety of technologies and tools for development. Here are some of the key ones I work with:

Programming Languages

Python

JavaScript

TypeScript

C#

C

Backend Frameworks & Libraries

FastAPI

Frontend Frameworks & Libraries

React

Databases

PostgreSQL

My academic background, combined with extensive project work and professional experience, has equipped me with strong expertise across a wide range of technical domains:

• Artificial Intelligence & Machine Learning (AI/ML):   - LLM Integration & API Management Agent-Based Systems RAG (Retrieval-Augmented Generation) Advanced Prompt Engineering Machine Learning Algorithms
• Software Development & Engineering:   - Backend Development (Python, C#)   - Frontend Development (React)   - Object-Oriented Programming (OOP) API Design & Development Clean Code & Architecture Browser Extension Development
  • Screappers
• Core Computer Science Fundamentals:   - Data Structures & Algorithms Database Design & Management (SQL, PostgreSQL) Information Retrieval Theory Compiler Design Principles Computational Theory Mathematical Modeling Mathematical Analysis
• System & Development Operations (SysOps/DevOps):   - Containerization (Docker) Version Control (Git) Operating Systems (Linux, Windows) Terminal & Command-Line Proficiency Network Protocols (HTTP, FTP)
• Data Analysis & Processing:   - Data Preprocessing Data Modeling Data Analysis Techniques Statistical Inference Hypothesis Testing Numerical Computing

  A project that implements advanced techniques for reconstructing low-field magnetic resonance imaging (MRI) images. It uses wavelet transforms and deep neural networks to restore and enhance the quality of degraded images.

 
• 🧠 Advanced Reconstruction: Utilizes wavelet transforms and deep neural networks to restore and enhance low-field MRI quality.
 
• 📊 Automatic Reporting: Includes a system for generating automatic reports in PDF and CSV formats.