- Experienced Backend & AI Engineer specialized in designing and deploying scalable AI-driven systems.
- I bridge the gap between robust backend architecture and cutting-edge Artificial Intelligence.
- Expert in building high-performance microservices, currently focused on integrating LLMs, RAG pipelines, and AI agents into production-ready environments.
- Committed to writing clean, reliable code that turns complex data into actionable, automated solutions.
- Artificial Intelligence Engineer at MODO π±
- PyAudioCast: Cross-platform audio output library for Python, powered by Rust/CPAL. Stream audio to any device including virtual sinks.
- indextts2-inference: Minimal pip package for IndexTTS2 inference. Wraps the official IndexTTS2 repo, stripped down to only what's needed for inference.
- AI Stack: Python, LLMs, RAG Pipelines, AI Agents.
- Backend: Node.js, Go, TypeScript.
- Cloud & DevOps: AWS, Docker, Kubernetes.
- Advancing my AI foundations through DeepLearning.AI (recently certified in Linear Algebra for Machine Learning and Data Science).
- Languages: Rust, Go (Microservices).
- Name: Nicolas Kim
- LinkedIn: nico-kim




