Raul Mercado, Jr.

# Raul Mercado, Jr.

## About Me

Strategic Technology Leader with 10+ years transforming complex business challenges into scalable technical solutions across multiple industries, with significant experience in healthcare environments. As founder of Reassured Health, developed healthcare IT infrastructure while successfully navigating the intersection of clinical workflows, regulatory requirements, and technological innovation.

Systems thinker and business transformation specialist who bridges the critical gap between domain knowledge and strategic technology implementation. Proven ability to analyze organizational needs, design comprehensive technology roadmaps, and orchestrate cross-functional teams to deliver solutions that enhance operational outcomes while meeting regulatory standards. Experience translating complex compliance requirements into systematic business strategies rather than tactical technical implementations.

Analytical problem-solver who approaches complex IT challenges through comprehensive stakeholder analysis, requirements synthesis, and systematic solution architecture. Demonstrates consistent ability to organize multifaceted projects, reason through regulatory constraints, and deliver measurable business outcomes that support both immediate operational needs and long-term strategic objectives.

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## Education & Academic Background

### Master of Science, Mathematical Sciences | 2017

**University of Texas Pan American, Edinburg, TX**

Advanced graduate study in mathematical sciences with emphasis on applied mathematics and computational analysis. Completed rigorous coursework in advanced calculus, differential equations, numerical analysis, and mathematical modeling.

#### Research Projects

- **PDE Analysis and Radar Image Reconstruction**
  Applied partial differential equations to solve inverse problems in radar imaging, developing computational algorithms for image reconstruction from sparse data. This work involved advanced numerical methods, signal processing techniques, and optimization algorithms—skills directly applicable to modern data processing and machine learning applications.

- **Colored Integer Partitions**
  Investigated combinatorial structures and developed computational approaches to enumerate and analyze colored partitions. This research required designing efficient algorithms, managing large datasets, and developing mathematical proofs—foundational skills for algorithmic thinking and software architecture.

### Bachelor of Science, Applied Mathematics | 2010

**University of Texas Pan-American, Edinburg, TX**

Comprehensive undergraduate program emphasizing practical applications of mathematical theory. Strong foundation in calculus, linear algebra, statistics, and computational methods with focus on problem-solving and analytical reasoning.

#### Research Projects

- **Introduction to Integer Partitions**
  Explored fundamental concepts in additive number theory and combinatorics. Developed computational tools to analyze partition functions and investigate asymptotic behavior, building early experience with mathematical programming and data analysis.

- **Spherical Chains**
  Studied geometric structures and their representations, involving complex mathematical modeling and visualization techniques. This work required spatial reasoning and geometric intuition that translates well to 3D graphics programming and system architecture design.

### Associate of Arts, Spanish | 2008

**South Texas College, McAllen, TX**