LLM Agent Systems
Multi-agent orchestration pipelines with tool use, memory, and retrieval — production-grade agents that plan, execute, and verify.
PyTorchLangGraphRAG
> initializing portfolio.exe
I build intelligent systems by day and sculpt digital worlds by night — where machine learning meets real-time graphics.
Multi-agent orchestration pipelines with tool use, memory, and retrieval — production-grade agents that plan, execute, and verify.
Diffusion-based image synthesis and NeRF-style scene reconstruction for bridging generative AI with 3D content pipelines.
Low-latency model serving, quantization, and GPU optimization — taking models from notebook to production at scale.
Stylized and realistic characters — from ZBrush blockout to retopo, texturing in Substance, and final render.
Immersive scenes built for Unreal Engine and WebGL — lighting, atmosphere, and optimization for 60fps experiences.
Geometry nodes, shader experiments, and AI-assisted asset generation — art directed by algorithms.
I'm an engineer-artist hybrid working at the intersection of machine learning and computer graphics. My AI work focuses on agentic systems and generative models; my art practice explores real-time 3D, procedural worlds, and neural rendering. I believe the next creative renaissance will be built by people who speak both Python and polygons.