Jose Garza

Highly motivated software/computer engineering professional with a strong foundation in computer science principles and hands-on experience in developing innovative software and hardware solutions. I look forward to connecting with like-minded individuals and organizations to contribute my skills and passion to drive innovation in the field.
 

I am a skilled DevOps Engineer and Software Engineer with a strong foundation in computer engineering, specializing in cloud infrastructure, CI/CD pipelines, and embedded systems. My technical expertise spans a wide array of programming languages, databases, and development tools.

Key Highlights:

DevOps Expertise: At Madison Gas and Electric, I optimized DevOps and Value Stream Mapping (VSM) practices, significantly reducing software delivery cycles from three weeks to one week. I automated over 20 CI/CD pipelines using Azure Pipelines and GitHub Actions, cutting deployment times from four hours to 15 minutes and boosting release frequency. Additionally, I managed over 100 Azure resources with Terraform and Ansible, enhancing deployment efficiency and reducing provisioning errors.

Cloud and Infrastructure Management: While at Autodesk, I designed and implemented a robust cloud monitoring system using Snowflake, AWS CloudWatch, Lambda, Terraform, and Grafana, ensuring real-time data processing and infrastructure automation. I scaled a production email validation service to handle 30,000 clients daily and optimized APIs for high traffic, demonstrating my ability to build and scale cloud-based applications.

Web Development: During my tenure at Chapa Software Solutions, I utilized HTML, CSS, JavaScript, React, and Node.js to develop interactive web applications, increasing user engagement by 30%. I led the deployment of multiple web applications, enhancing client satisfaction and reducing downtime from 95% to 99.5%.

Embedded Systems Projects: I have executed several notable projects, such as developing an ultrasonic parking sensor with STM32, an environmental monitoring system with Raspberry Pi 4B, and a Rapid Electronic Vital System (REVS) using ESP32. These projects demonstrate my proficiency in real-time data processing, sensor integration, and system reliability.

Technical Skills: I am proficient in C, C++, C#, Java, JavaScript, Python, x86/ARM Assembly, HTML, CSS, and JSX. I have experience with cloud platforms (Amazon RDS, Google Cloud, Azure SQL), Linux, Matlab, SysML, and various automation tools.

Education: I hold a Bachelor of Science in Computer Engineering from The University of Texas at Rio Grande Valley.

I am dedicated to optimizing processes, enhancing system performance, and ensuring security best practices. My hands-on experience in both software and embedded systems makes me a versatile and valuable asset in the tech industry.

Bachelors of Science in Computer Engineering

The University of Texas at Rio Grande Valley • Edinburg, Texas • 2023