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Alejandro GuiterAG
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Alejandro Guiter

@alejandroguiter

Frontend Engineer at Ciklum who migrated a core platform from Gatsby to Next.js and raised Lighthouse scores to 95+.

Spain
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At Ciklum, I led the end-to-end migration of a core web platform from Gatsby to Next.js. I raised Google Lighthouse scores from around 75 to 95+ across all metrics through server-side rendering, static generation, and asset optimization.

I also developed a modular UI component library integrated with Figma, and improved page loading through route prefetching, code splitting, and optimized data fetching. I used Cursor AI workflows to accelerate the legacy migration.

At Izertis, I architected frontend solutions for health-tech and enterprise fashion clients using React, Next.js, and TypeScript. I built a reusable component library aligned with Figma design systems and developed dynamic landing page generators with CMS integration.

At Folder IT, I developed end-to-end features for an agricultural microservices platform using React, NestJS, TypeScript, and MongoDB, including real-time data streaming from field machinery. Earlier, I delivered web applications for international clients at Serfe and researched AI and NLP techniques at Universidad Tecnólogica Nacional.

Experience

Work history, roles, and key accomplishments

Izertis logoIZ

Frontend Developer

Izertis

Oct 2023 - May 2025 (1 year 7 months)

Architected greenfield frontend solutions for health-tech and enterprise fashion clients using React, Next.js, and TypeScript, establishing foundational project structures and coding standards. Designed and built a custom reusable component library aligned with Figma design systems, accelerating UI development across cross-functional product teams.

FI

Full Stack Developer

Folder IT

Sep 2021 - Sep 2023 (2 years)

Architected and developed end-to-end features for a large-scale agricultural microservices platform using React, NestJS, TypeScript, and MongoDB, managing real-time data streaming from field machinery. Optimized database performance by restructuring MongoDB queries and indexing strategy, reducing load times significantly.

UN

Intern R+D

Universidad Tecnólogica Nacional

Jul 2020 - Dec 2020 (5 months)

Researched and implemented AI and Natural Language Processing (NLP) techniques for business process analysis. Developed automated solutions using Python and spaCy to enhance data-driven decision-making within the research department.

Education

Degrees, certifications, and relevant coursework

Universidad Tecnológica Nacional (UTN) logoUU

Universidad Tecnológica Nacional (UTN)

Information Systems Engineering, Information Systems Engineering

2017 - 2023

Pursued Information Systems Engineering degree at Universidad Tecnológica Nacional from 2017 to 2023.

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