
Building production software systems with a foundation in mathematics and computer science. I develop scalable applications, AI-powered tools, and infrastructure solutions that solve real-world problems with rigorous engineering principles.
I'm a Software Engineer with a strong foundation in mathematics, computer science, and machine learning. I specialize in building production-grade applications, AI-powered systems, and developer tools that solve complex problems with clean, maintainable code.
My work spans full-stack development, AI orchestration platforms, and clinical ML pipelines. I've delivered centralized AI development infrastructure with Coder, processing patient data in production workflows, and building real-time collaboration platforms with sub-10ms latency. From TypeScript and Python to edge computing and LLM integration, I apply rigorous engineering and mathematical thinking to every project.
I focus on systems that deliver measurable impact: reducing costs by 70%, cutting deployment times by 8x, and accelerating productivity by 30%+. Whether it's infrastructure automation, real-time systems, or AI-powered tools, I combine theoretical understanding with practical engineering to build solutions that scale.
Built centralized Claude Code infrastructure with Coder on Hetzner, enabling distributed team collaboration with automated budget optimization and 70% cost reduction.
Deployed biomechanical analysis pipeline processing 40+ daily patient assessments in clinical workflow with 99.9%+ uptime and GDPR compliance.
Built production RAG system with image-based disease detection across 8+ GB of medical textbooks, reducing diagnostic research time from 30+ minutes to under 3 minutes with 100% citation traceability.
I'm available for software engineering projects and consulting across full-stack development, system architecture, AI integration, and infrastructure automation. Whether you need production applications built, ML systems deployed, or technical guidance on complex problems, I'd love to hear from you.