Jorge Cuevas Quezada

Jorge Cuevas Quezada

Full Stack Engineer @ Avenue Code

About Jorge Cuevas Quezada

Jorge Cuevas Quezada is a Full Stack Engineer currently employed at Avenue Code in San Francisco, California. With a diverse background in software development and engineering, he has worked for various companies and has a strong focus on optimizing application performance and improving development processes.

Work at Avenue Code

Jorge Cuevas Quezada has been employed at Avenue Code as a Full Stack Engineer since 2021. He works in San Francisco, California, where he contributes to various projects leveraging his expertise in full stack development. His role involves enhancing application performance and optimizing user experiences.

Previous Experience in Software Development

Before joining Avenue Code, Jorge worked at several companies in various capacities. He served as a Full Stack Engineer at White Prompt from 2020 to 2021 and at eendLabs from 2019 to 2020. Additionally, he worked at Reflexions for nine months in 2022 to 2023. His earlier roles included Software Developer positions at Seguros Pepín, S.A. and Bahia Principe Privilege Club.

Education and Expertise

Jorge has a solid educational background in software development and engineering. He studied at Universidad Tecnológica de Santiago UTESA, earning a degree in Computer Engineering from 2012 to 2018. He also completed various online courses, including Software Development at Udemy and Computer Software Engineering at Free Code Camp. His education includes an English Immersion Program at Universidad Autónoma de Santo Domingo.

Technical Skills and Achievements

Jorge has demonstrated significant technical skills in software engineering. He enhanced application performance and rendering time by 10x using server-side rendering with React and Next.js. He also deployed scalable Node.js services with Docker and Kubernetes, and improved development efficiency by 50% through a modular React and TypeScript component library. His work includes implementing microservices architecture and optimizing codebases using TypeScript and Jest.

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