Vicent Ibanez, Developer in Prague, Czech Republic
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Vicent Ibanez

Verified Expert  in Engineering

Full-stack Engineer and Developer

Prague, Czech Republic

Toptal member since December 17, 2024

Bio

Vicent is a senior full-stack engineer who creates innovative solutions, including apps that integrate AI APIs to enhance functionality and user experience. He has worked on diverse projects, from IoT platforms to business apps, focusing on practical and impactful results. At MSD, Vicent led AI-driven projects, optimizing processes with cloud technologies. His work at Keebus involved building a complete industrial IoT platform, showcasing his ability to deliver effective, tech-driven solutions.

Portfolio

Markinson Satch
Node.js, React, MongoDB, Artificial Intelligence (AI)
MSD
Node.js, React, TypeScript, PostgreSQL, APIs, Redis, MongoDB, AWS IAM...
Keebus
Node.js, React, MongoDB, Microelectronics, AWS IAM, Embedded C

Experience

  • Node.js - 12 years
  • Project Design - 10 years
  • JavaScript - 10 years
  • APIs - 10 years
  • MongoDB - 10 years
  • React - 8 years
  • Redis - 6 years
  • TypeScript - 5 years

Availability

Part-time

Preferred Environment

APIs

The most amazing...

...thing I've done is create Gestracking.com, the first commercial company in the world to use Google Maps API for a GPS software app using only the browser.

Work Experience

Project Manager, Al Integration

2024 - 2025
Markinson Satch
  • Led a cross-functional development team in creating cutting-edge software solutions that leveraged advanced AI technologies, including retrieval augmented generation (RAG) and AI agents.
  • Designed a multi-agent system integrating LLM providers like OpenAI, Anthropic, and Google Gemini.
  • Delivered end-to-end architecture, back end, front end, database, and web sockets.
Technologies: Node.js, React, MongoDB, Artificial Intelligence (AI)

Senior Full-stack Developer

2020 - 2024
MSD
  • Developed front-end interfaces and integrated them with APIs, AWS, and AI API services.
  • Led the creation of a Node.js middleware server, enhancing system efficiency and replacing a legacy Java server.
  • Integrated back-end applications with AI APIs, focusing on machine learning capabilities and error handling.
  • Implemented AI-driven solutions into corporate projects at MSD, streamlining processes and meeting business objectives.
  • Leveraged AI and cloud technologies to automate and optimize machine learning processes, contributing to cutting-edge projects.
Technologies: Node.js, React, TypeScript, PostgreSQL, APIs, Redis, MongoDB, AWS IAM, JavaScript

Full-stack Developer & Architect

2018 - 2020
Keebus
  • Designed and developed an internet of things (IoT) platform, building a complete industrial IoT solution, including hardware, software, REST API, and a communication center.
  • Built and maintained the Keebus.com platform as a demonstration and access point for the IoT solution, ensuring robust functionality and user engagement.
  • Integrated non-invasive sensors to capture data from machines and installations, enabling efficient and seamless industrial monitoring and data acquisition via 3G and wifi using TCP and UDP communications.
Technologies: Node.js, React, MongoDB, Microelectronics, AWS IAM, Embedded C

Full-stack Developer

2017 - 2018
Deutsche Post
  • Built IoT smart office applications and integrated APIs for language translation, machine learning, and data analysis.
  • Developed a chatbot with voice and telephone entries using APIs, Node.js, and Redis.
  • Created the company's initial multiservice API hub.
Technologies: APIs, Azure, MongoDB, Node.js, React

Real-time Software Developer

2017 - 2017
World Economic Forum
  • Produced a multidevice web app for event registration.
  • Supported the online video team with tailored apps developed onsite.
  • Developed back-end apps tailored to the needs of streaming and validation teams.
Technologies: Node.js, APIs

Experience

Keebus

http://keebus.com/
A platform for monitoring devices designed for real-time data collection across various industries.

Keebus features wifi and GSM/LTE connectivity for global deployment and quick installation. The device supports multiple sensors and offers cloud-powered analytics, enabling efficient data processing and machine learning integration. With its user-friendly setup and real-time monitoring capabilities, Keebus helps optimize operations and improve productivity. It is ideal for applications in industries such as manufacturing, energy, and agriculture.

API Reader

https://apireader.com/
A user-friendly package for simplifying API interactions in Node.js and browser environments.

API Reader leverages the native "fetch" API to streamline HTTP requests and responses. Designed for developers, it abstracts complex processes, making API integration easier. Its cross-platform compatibility enhances versatility for various applications. Overall, API Reader aims to reduce the complexity of working with APIs.

Merck-MSD BI integration with PowerBI, Spotfire, and Qlik Sense

Complex integration in our internal platform using the API for Microsoft Power B, Spotfire, and Qlik Sense. This task took some time, but finally, the internal MSD application could show these three systems internally.

Education

1988 - 1992

Bachelor of Engineering Degree in Electronics Engineering

Universitat Politècnica de València (UPV) - Valencia, Spain

Skills

Libraries/APIs

Node.js, React

Tools

AWS IAM

Languages

JavaScript, TypeScript, Embedded C, Swift 6

Frameworks

Next.js

Storage

Redis, MongoDB, PostgreSQL, Amazon DynamoDB

Platforms

Azure

Other

APIs, Electronics, Microelectronics, Project Design, Electronics Engineering, Artificial Intelligence (AI)

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