Carlos García Pelazas

Software Engineer
Oviedo, ES.

About

Highly motivated Full-Stack Developer with a Bachelor's degree in Software Engineering, specializing in building robust applications from scratch and integrating advanced technologies like machine learning. Proven ability to deliver comprehensive software solutions, enhance operational efficiency, and contribute to strategic product development. Eager to apply strong technical expertise and problem-solving skills to impactful software engineering roles.

Work

MAF Esquí Club
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Ski Coach

Oviedo, Asturias, Spain

Summary

Managed and coached ski athletes across various age groups, fostering skill development and effective team dynamics.

Highlights

Organized and led comprehensive training sessions and competitive events, enhancing athlete performance and ensuring adherence to team methodology.

Managed communication strategies with athletes, families, and club management, resolving issues and maintaining high levels of satisfaction and engagement.

Developed and implemented team-building exercises, fostering a cohesive and high-performing team environment.

Vivra Sports Club
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Full-Stack Developer

Oviedo, Asturias, Spain

Summary

Led the end-to-end development of a critical administration software, significantly improving operational workflows for multiple sports schools.

Highlights

Architected and developed a full-stack administration software from scratch using Nest.js, React, and PostgreSQL, streamlining operational processes for sports schools.

Contributed to strategic product development and feature prioritization by actively participating in product and strategy meetings, aligning technical solutions with business objectives.

Implemented robust CI/CD pipelines with Docker for efficient deployment, enhancing system reliability and accelerating development cycles.

Education

Universidad de Oviedo
Oviedo, Asturias, Spain

Bachelor's degree

Software Engineering

Languages

English
French
Spanish

Skills

Programming Languages & Frameworks

Java, Junit, SpringBoot, Maven, Git, Python, React, Next.js, Node.js, Express.js, Typescript, PostgreSQL, MongoDB, Tailwind CSS.

DevOps & Cloud Technologies

CI/CD, GitHub Actions, Sonarqube, Docker, AWS, Cloud VM Deployment.

Tools & Methodologies

Slack, Machine Learning, Microservices Architecture.

Projects

BTC Price Tomorrow – Final Degree Project

Summary

A microservices-based application that uses machine learning to predict Bitcoin's price for the next day.

TicketDry - Personal Project

Summary

An online ticketing platform for events, developed as a full-stack application.