Agent Runtime Engineer
Connects inference, tool use, memory, evals, world state and interface design into controllable AI systems.
AGI RESEARCH
PERFORMANCE-COST BALANCE
PERFORMANCE-COST BALANCE
AI RESEARCHER
HUMAN-MACHINE INTERACTION
RESEARCH MEETS UTILITY
RESEARCH MEETS UTILITY
Universal FAW Labs AI systems portfolio
Prefer solving the core problem first.
Universal FAW Labs builds AI systems across runtime, interface, media, and embodied experiments. The studio direction is simple: make intelligence observable, steerable, and useful in the places where people and machines actually work together.
Open Sheng-Kai portfolioWORKS
Generative Models & MLX
Speech Model Optimization
LLM & Harness
Embodied AI
HMI
0. HUMAN
1. MACHINE
2. FEEDBACK
Give AI a friendly environment and interface for interaction.
Beyond HMI, I want to build interfaces designed for AI itself: tool surfaces where AI can call modules quickly, inspect state, and coordinate its own actions. This will be the next stage of my experiments.
AI Skill Tree
Positioning: AI systems engineer for the 2026 agent stack. I work across inference runtime, MLX porting, agent orchestration, memory, evaluation, world-model state, and HMI so research models become fast, inspectable product systems.
CUDA ↔ MLX / Metal Optimization
Perform cross-framework GPU kernel optimization including PyTorch/CUDA to MLX ports, tensor layout, state_dict surgery, custom op implementation, Metal backend, parity validation and profiling.
Inference Optimization
Design and optimize LLM/agent inference pipelines with KV/prefix cache, chunked prefill, quantization, batching, warm services, and TTFT/decode benchmarks across local and cloud.
Memory, RAG, Evals
Task contracts, verifier loops, accepted / rejected memory, semantic recall, route tests, safety gates and replayable traces.
Robot Latent Planning & Action
Develop latent planning systems for robots using visual state, 3DGS reconstruction, pose and motion modeling, afterstate prediction, diffusion repair, and compact scoring for embodied control.
Human + Agent Interface
CLI, Desktop, Browser, VSMONSTER, 2D / 3D FOCUS and shader controls for observable state, interruption, review and recovery.