Hi, I'm Lucas Sas Brunschier
Software Developer for Cloud Applications
I build scalable cloud applications and modern web solutions that drive innovation.
About Me
Who I Am
I'm a passionate software developer specializing in cloud applications with a focus on building scalable and reliable solutions. With several years of experience in cloud development, I specialize in building modern, cloud-native applications.
When I'm not coding, you can find me exploring new cloud technologies, contributing to open-source projects, or sharing knowledge with the developer community.
What I Do
- Full-Stack Development for Cloud Applications
- Responsive UI/UX Design
- API Development & Integration
- Cloud Infrastructure & DevOps
- Database Design & Optimization
- Performance Monitoring & Optimization
- Linux
GitHub Activity
0 contributions in the last year
Skills & Technologies
Here are the tools and technologies I work with to bring ideas to life
Backend
Tools & DevOps
Cloud Technologies
Frontend
Featured Projects
A selection of projects I've worked on, showcasing my skills and experience
In Memory Geospatial Database - Orter.dev
An in memory geospatial database as a service. Built with Rust and Tokio for high performance, Next.js and Tailwind for the frontend, and PostgreSQL for persistent storage. Integrated OpenTelemetry for monitoring and tracing.
Trajectory Trace
A urban data plattform built for visualizing and analyzing geospatial trajectory data. Built with NextJS and for interactive visualizations, Axum (Rust) and GraphQL for the backend, and TimescaleDB for data storage. Implemented WebSocket for real-time data updates.
Vehicle Prediction Particle Simulation
A desktop application for simulating and predicting vehicle trajectories using a particle simulation. Built with Rust for performance-critical components, Python for data processing, React for the UI, Tauri for desktop integration, and MaplibreGL for map visualizations.
Career Journey
My professional journey through the tech industry, building innovative solutions and growing as a developer
Startup Co-Founder & CTO
Dual-use predictive simulation technology for vehicle and human motion.
Technologies:
Senior Full-Stack Developer
Joined a small startup team to build innovative AI-powered solutions for the health insurance industry.
Key Achievements:
- Designed and implemented an AI-driven cloud data processing platform to extract, structure, and index end-customer information from health insurance contracts.
- Enabled semantic search using Retrieval-Augmented Generation (RAG) and delivered an AI-powered insurance offer browser adopted by major health insurance providers.
Technologies:
Senior Software Engineer
Leading the development of scalable cloud-native applications and mentoring junior developers. Architecting microservices solutions for high-traffic systems.
Key Achievements:
- Led cloud-native application development on the OSS data platform Superb Data Kraken
- Designed and maintained cloud infrastructure using Kubernetes
- Developed production-ready OSS integrations and microservices with Java Spring Boot
- Engineered a Kubernetes Operator to orchestrate cloud-native data processing pipelines at scale
- Built a full-stack real-time traffic camera surveillance system using object detection, MQTT, and GraphQL
- Supervised and mentored student research teams at the Technical University of Ingolstadt
Technologies:
Master's Student
Developed and maintained full-stack web applications for various clients. Collaborated with cross-functional teams to deliver high-quality software solutions.
Key Achievements:
- Authored a Master's thesis on video anomaly detection in vehicular surveillance systems, conducted within the SAVeNoW research project at e:fs TechHub GmbH
- Implemented deep learning models and video processing pipelines
- Contributed research and development outcomes that led to the expansion of the company's product portfolio
Technologies:
Software Developer Intern
Started professional career working on various web projects. Gained experience in modern web technologies and agile development practices.
Key Achievements:
- Integrated automated neural network optimization and validation workflows into a CI/CD pipeline using GitLab CI
- Delivered a keynote presentation at the IoT@Siemens Conference 2022
- Optimized artificial neural networks for embedded systems, achieving a ~70% reduction in memory footprint using Meta Glow
- Extended and enhanced an Angular front-end for a production deployment on Siemens MindSphere, improving usability and functionality.
Technologies:
Get In Touch
I'm always open to new opportunities and interesting projects. Let's connect!