Summary
Carlos Soler is a developer with 11 years of hands-on experience building full-stack and data-driven systems, currently contributing to an international NLP platform at Sciling. He designs and deploys RESTful APIs, virtualized microservices with Docker/Kubernetes, and data pipelines in Python and C++, pairing relational and NoSQL databases to solve real-world problems. His work spans ML model development with Keras/TensorFlow and Gluon/MXNet, OpenCV-based image processing, Android and frontend stacks (Angular, Vue.js), and integrations with external APIs. A clean-code advocate and open-source enthusiast with an MSc in Computer Engineering from UPV, he brings a pragmatic taste for simple solutions and cross-cultural collaboration developed through diverse team settings. Notably, he has applied computer vision for environmental sensing (temperature/humidity extraction) and led end-to-end NLP system phases from design to production.
11 years of coding experience
Universitat Politècnica de València
Spanish, Catalan, English