Software Engineer specialized in AI systems, building self-hosted infrastructure, scalable backend/frontend applications, and production-ready machine learning pipelines. I focus on creating systems that operate independently, avoid vendor lock-in, and maintain full data control.
My expertise covers the full lifecycle: from GPU-optimized model deployment and high-performance APIs to CI/CD pipelines, monitoring, and automated testing. I design systems with reliability, scalability, and quality at the core, integrating strong QA practices across every layer.
Projects like Kurai-Transcribe and KuraiMusik reflect this approach—AI systems running 24/7 with zero API costs, optimized performance, and production-grade stability, combining advanced AI capabilities with solid engineering and automation.
Production-grade self-hosted transcription API processing millions of minutes monthly. Custom vocabulary injection, named entity recognition with SpaCy, automatic punctuation restoration. Advanced GPU memory management with semaphore-based VRAM allocation prevents OOM errors. Voice activity detection + Pyannote speaker diarization. Real-time monitoring dashboard with Prometheus metrics.
Autonomous content generation system running 24/7 with zero human intervention. Dynamic content buffer system powered by advanced generative AI. Circuit breaker patterns ensure fault tolerance and reliability. Intelligent content orchestration with real-time metadata management and automated scheduling.
Available for AI infrastructure consulting and development projects.
Specializing in self-hosted AI systems, MLOps platforms, and production ML infrastructure.
Let's build AI systems that actually work at scale.