Hire the Best Genetic Algorithms Specialists
in Venezuela

Hello! . I am Hernando, an Applied Mathematician, Data Analyst, and Full Stack Developer. With 26 years of experience as a university professor of mathematics (specializing in algebra, calculus, and applied statistics at the Universidad del Zulia) and as the founder of the consulting brand Guzmathic, I bridge the gap between deep academic rigor and practical, scalable business solutions. Beyond coding, my core strength lies in algorithmic thinking. As a Venezuelan National Chess Master, I bring a high level of strategic planning, logical optimization, and foresight to every dataset I analyze and every architecture I design. I don't just write scripts; I build robust mathematical models tailored to your specific technical or financial needs. My core technical stack and expertise include: Programming & Full Stack: Python, JavaScript, MATLAB, R. Data & Analytics: Advanced Excel (VBA, macros, dynamic dashboards), SQL Databases, Statistical Inference, and Predictive Modeling. Mathematical Modeling: Optimization algorithms, Bayesian conditional probability, linear/multiple regression, and numerical approximations. Academic & Technical Writing: LaTeX, Overleaf, and the creation of highly technical documentation or competitive syllabi. Recent real-world applications of my work include: Designing and deploying quantitative portfolio backtesting tools in Python using historical corporate fair value data and Sharpe ratios. Building complex, multi-factor Anti-Money Laundering (AML) risk matrices in Microsoft Excel for the financial sector. Developing and structuring advanced algorithmic problem sets for international mathematical Olympiads. Whether you need a full-stack data pipeline, a complex statistical model translated into efficient code, or a flawlessly typeset LaTeX manuscript, I deliver precise and mathematically sound results. Please feel free to review my GitHub portfolio to see my algorithms in action. I look forward to bringing decades of analytical expertise to your next project.

I am BS in Electrical Engineering graduated with honors. During my university career I specialized in the design and development of several tools for data processing, feature & pattern extraction, time-frequency analysis, signal convolution (see my portfolio), image classification, linear & nonlinear filtering of time sequences (1D), images (2D), hyper & multi spectral images (3D) as well as the implementation of genetic algorithms for the optimization of Objective Functions subject to linear and nonlinear constraints. In my degree project I implemented a land cover classifier for satellite images (hyper spectrals) using Sparse Signal Representation as an artificial intelligence method positioned in the state-of-the-art (see my portfolio). I currently have more than 3 years of experience in applications that enable extreme performance & accuracy improvements in Machine Learning and in the powerful field of Data Science. In particular, I have heavy expertise implementing models based on classical techniques such as: Binomial and Generalized Logistic Regression, Robust Regression, Neural Networks, Vector Support Machines, K-Nearest Neighbor as well as innovative techniques positioned in the state-of-the-art as Sparse Signal Representation, all of them in applications of Image classification, Denoising, Super Resolution, among others. I have heavy skills in Python and MATLAB (with experience in R as well) so I have used these powerful programming languages for the quickly, reliable and efficient development of my projects. I also carried out 3 masters courses in Biomedical Engineering of Mathematical Methods and Statistics applied to the Engineering, with which I have solid bases to analyze and infer well on the results obtained. Feel free to get in touch with me if you need to solve any problem related to: - Machine learning - Data science - Genetic Algorithms - Signal & Image Processing - Biomedical Image processing

The main research and teaching areas in which I have been working for more than 20 years are: Calculus, Numerical Analysis, Partial and Ordinary Differential Equations, Numerical Solution of Differential Equations, Fluid Flow Simulation Models, Discrete mathematics, Topology. In addition to programming language: Matlab, excel, C, C++, Verilog.

I’m a retired university professor based in Venezuela with a lifelong passion for mathematics and over 30 years of experience teaching advanced topics in electrical engineering, computer science, and applied mathematics. After completing degrees in both Electrical and Computer Engineering, I dedicated my career to teaching and mentoring future professionals. In recent years, I’ve deepened my knowledge of artificial intelligence by completing various AI and machine learning courses. I now specialize in helping students and professionals understand the mathematical foundations behind modern AI tools and algorithms. I speak fluent English and work comfortably with frameworks like Python, Scikit-Learn, and Keras. Whether you're just starting or need to understand the math behind what you're coding, I can help bridge that gap. Currently offering: - Online tutoring in mathematics (from high school to graduate-level topics) - Conceptual guidance in math for AI, ML, and data science - Custom training or video content on AI-related math topics If you're looking for a clear, patient, and technically solid mentor who genuinely enjoys teaching, I’d love to work with you.