Pablo Johnson

Entwicklung und Optimierung von CI/CD-Pipelines für C++- und Rust-Code. Implementierung von Embedded Software mit Rust. Implementierung eines Tools (Frontend und Backend) zur Analyse und Erkennung von Fehlern in Eisenbahnkommunikationsgeräten mit Python und Vue.Js. Entwurf und Implementierung der Architektur für ein eingebettetes System für die Eisenbahnkommunikation. Technologie-Stack: Python (FastAPI, Pandas, Matplotlib), PostgreSQL, Docker, Vue.Js, Node, Rust.

Lead the development of all POCs or solutions related to computer vision. Work together with project managers to find potential opportunities in current customers and define technical requirements. Solve technical and architectural challenges to create any type of solution for computer vision-related tasks. Conduct code reviews and mentor new team members. Technologies used: Python (FastAPI), TypeScript (NestJs), GPT-model, Keras, Docker, AWS, Vercel, LlamaIndex, PostgreSQL.

Technical Lead of the solution for the frontend and the backend team. Solve technical and architectural challenges for the solution. Focused on the user experience. Technologies used: Dart (Flutter), Javascript (ExpressJs), Typescript (NestJs), Node, GCP, Firebase, NoSQL database.

Define workflow methodology, features, and design mockups for a web interface that allows the creation of a PCB design errors dataset. Define and train a YOLO-based model specialized in detecting defects on PCB designs. Design and develop a web interface and the backend for training an ML model specialized in detecting defects on PCB designs. Technologies used: Python (FastAPI), PostgreSQL, Docker for the backend, Vue and Docker for the frontend, and Keras for the ML model.

Define workflow methodology, features, and design mockups for a web interface that allows the creation of a PCB design errors dataset. Define and train a YOLO-based model specialized in detecting defects on PCB designs. Design and develop a web interface and the backend for training an ML model specialized in detecting defects on PCB designs. Technologies used: Python (FastAPI), PostgreSQL, Docker for the backend, Vue and Docker for the frontend, and Keras for the ML model.

Lead the Android development team (4 developers and 2 QAs) for the Breeze app. Discuss and decide decisions related to system architecture in conjunction with iOS, frontend, and backend team leads. Conduct code reviews and mentor new team members. Define and conduct interviews for new mobile developers for the whole Santex organization. Technologies used: Java, Kotlin, Swift, Javascript, Node, AWS, Docker, and Kubernetes.

Analyze and develop mobile applications on Android. Develop a customizable application for more than 500 different bank clients all over the world. Conduct interviews for new mobile developers. Conduct code reviews and define development standards.

Develop software for set-top boxes. Dialogue with customers and refine their requirements. Make decisions regarding the architecture of the solution. Discuss with potential partners for joint product implementations.

Software Engineer, Análisis y desarrollo de software móvil y web

Mobile development