Fernando Yael Agredano Parada

Fernando Yael Agredano Parada

FullStack Developer / AI Developer

Guadalajara, Jalisco

#OpenToWork

About

Computer Systems Engineer dedicated to the development of contemporary, scalable, and efficient web applications. Possessing full-stack expertise in both frontend and backend development, I enhance development processes through the utilization of modern tools. I am proficient in analytical thinking, problem-solving, and fostering effective collaboration to produce reliable, high-impact software.

What I'm looking for

I’m looking for a Full-Stack Developer role where I can build scalable and modern web applications using technologies such as React, TypeScript, Next.js, and Node.js. I’m interested in opportunities where I can solve complex problems, collaborate with a development team, and continue growing professionally while delivering reliable and high-quality software.

Experience

iNBest

Full Stack Developer | AI Developer

iNBest

Sep 2025 – Present

• I create comprehensive solutions centered on artificial intelligence, integrating technologies such as TypeScript, React, Next.js, Node.js, and Express with agent-based architectures. My expertise lies in the sophisticated application of Claude Code as a fundamental development framework, incorporating MCP Servers for contextual integration with external tools, data, and services, while also designing Agent Skills and Agent Teams to facilitate automated, collaborative, and scalable workflows. During this role, I developed two full-stack platforms for different clients. • Financial Automation Platform (Fintech/SaaS): I built an internal system for financial operators that automated transaction management, payment reconciliation, and com- mission calculations through a real-time dashboard with full audit traceability. On the frontend, I developed the operator dashboard in Next.js 14 with role-based protected views, interactive data tables, and real-time updates via WebSocket (Socket.io), along with a custom TypeScript hook library for reconciliation, Excel export, image paste, and OneDrive file management. On the backend, I designed a REST API in Express.js and Type- Script across 13 domain modules, integrating dual enterprise authentication (Microsoft Graph/MSAL and AWS Cognito), AWS S3 storage with presigned URLs, and a MySQL data- base modeled with Sequelize ORM across 8 interconnected models, all deployed through a CI/CD pipeline in GitHub Actions with Docker and prepared for serverless deployment on AWS Lambda. • Automotive Brand Web Ecosystem (Marketing/E-commerce/CMS): I built a three-layer platform for an automotive brand, including a high-traffic, conversion-focused website with 60+ server-rendered pages in Next.js 13 (hybrid SSR/SSG), product animations with GSAP and Lottie, a vehicle comparison tool, and a Google Maps-powered dealer locator. I also configured and extended a headless CMS (PayloadCMS on Node.js and MongoDB) with 10+ custom collections, 28 custom field types, and 25 composable blocks for no-code page building, plus a custom endpoint for automatic catalog synchronization from an external CRM, and integrations with AWS API Gateway, a vehicle financing platform, and Google Analytics for conversion tracking.

TypeScriptNext.jsExpressReactTailwind CSSAWS
Wizeline S. de R.L. de C.V.

Intern

Wizeline S. de R.L. de C.V.

Feb 2024 – Aug 2024

• I contributed to the development and optimization of an internal employee skills management system at Wizeline, enhancing the user experience through responsive components and more intuitive workflows, which resulted in a navigation and data entry efficiency increase of over 60%. I utilized React, Remix, TypeScript, Tailwind CSS, Material UI, and PostgreSQL to ensure a stable, scalable product with consistent performance. I implemented unit tests with Vitest, thereby enhancing code reliability and minimizing errors in subsequent development stages. Furthermore, I created a text-to-speech conversion module utilizing the OpenAI API, integrating Firebase for secure and scalable storage. The project encompassed the construction of a REST backend using Node.js and Express, along with an interactive frontend based on React.

ReactTypeScriptOpenAI API

Education

Technological Institute of Jiquilpan

Technological Institute of Jiquilpan

B.S · Computer Systems Engineering

2019 – 2024

Certifications

AWS Certified Cloud Practitioner

AWS

2025 – No expiry

Skills

DockerAWSOpenAI APIClaude CodeViteREST APIsMaterial UITailwind CSSFlaskFastAPIFastifyExpressRemixNext.jsReactNode.jsSQLPythonJavaScriptTypeScript

Languages

Spanish (Native or bilingual proficiency)English (Professional working proficiency)