Engineering resilient software architectures with Java and PHP, applying battle-tested design principles to build systems that must not fail — where a bug is not a ticket, but a liability.

Transforming business complexity into maintainable, testable, and evolvable systems through architectural discipline and industrial-grade engineering:

• Hexagonal Architecture: Decoupling domain logic from infrastructure, frameworks, and delivery mechanisms. The core remains pure, testable, and framework-agnostic.
• Domain-Driven Design (DDD): Modeling bounded contexts, aggregates, and domain events that mirror real-world business invariants. The code is the specification.
• SOLID Principles & Design Patterns: Crafting object-oriented systems where single responsibility, open/closed design, and dependency inversion are non-negotiable constraints, not aspirations.
• Event Sourcing & CQRS: Treating state as a derivative of immutable events. Full audit trails, temporal queries, and the ability to reconstruct system state at any point in time — critical for financial and regulatory domains.
• Industrial Quality Assurance: JUnit/PHPUnit with mutation testing, contract testing, and architectural fitness functions. Exception handling as a security layer, not an afterthought.

The Value of My Profile: My dual foundation in mathematics and software engineering allows me to reason about system invariants with formal rigor, ensuring that every architectural decision is justified by structural integrity rather than framework convenience.

Developing Machine Learning solutions with Python, optimizing my workflow with Artificial Intelligence to deliver high-precision solutions across diverse fields of knowledge.

Transforming raw data into operational intelligence, encompassing the entire data science lifecycle through mathematical rigor and agile AI development:

• Descriptive Analytics: In-depth analysis of historical data to uncover patterns and behaviors (as seen in my crisis monitoring systems).
• Predictive Analytics: Implementing Machine Learning and probabilistic models to anticipate economic trends and disruptions.
• Predictive Analytics: Creation of decision engines that not only predict but also recommend the optimal course of action (such as my capital management system for trading).

The Value of My Profile: My engineering background and strong mathematical foundation allow me to understand the internal architecture of algorithms, ensuring that each phase of analysis is supported by sound scientific reasoning.

Project	Technical Description	Demo
📈 Centro de Mando Trading v7.5	Decision engine for capital management. Optimizes position sizing (Risk Management) based on R:B ratios and generates a definitive execution plan for assets such as NVDA, TSLA, and BTC..
🏦 IA para Políticas Públicas	GDP Nowcasting System that uses Principal Component Analysis (PCA) to process high-frequency indicators and predict the impact of external shocks (VIX, Oil).
📉 Monitor de Crisis Económica	Probabilistic recession analysis using time series models. Includes visualization of historical trends and critical risk thresholds by country.

• Analytical Thinking: Ability to break down business problems into executable mathematical models.
• Professional Maturity: Solid experience in problem‑solving and effective communication (rooted in my teaching background).
• Agile Learning: Mastery of AI tools to accelerate the software development lifecycle.

📫 How to contact me?

• Connect with me on [GitHub] (https://github.com/johnyse99)
• Or explore my repositories to see my latest simulators and models, as well as the systems I've developed.

📩 Direct contact: You can contact me directly through my email: [regiomaster@protonmail.com].

• Only available for international contracts (Remote / Contract work).