AI SYSTEMS BUILDER & EXPERIMENTER
Exploring what AI can do.
Building what works, and are they REALLY useful for everyday life?
Local LLMs, API llms, Cloud LLMs, and Manymore.
I also implement business automation leveraging AI and n8n workflows to streamline customer service and operational administration.
I explore, build, test, and optimize AI systems to understand what works in real conditions.
SELECTED EXPERIMENTS
001
Testing whether a 35B MoE model can become usable on a 12GB VRAM GPU by finding the optimal configuration for stable performance.
002
Exploring context scaling, prefill cost, memory pressure, and practical usability.
003
Connecting LLM, tools, memory, and automation into a working system.
CAPABILITY
Directing AI capabilities toward real problems, practical workflows, and measurable value.
Connecting model, infrastructure, tools, data, memory, and automation into usable systems.
Investigating bottlenecks, testing variables, and iterating based on actual behavior.
Exploring emerging AI capabilities and identifying practical limits.
APPROACH
I do not claim to know every answer in AI. I build, test, measure, investigate failure, and find what actually works.
ADAPTIVE BY DESIGN
AI systems are evaluated as complete systems: hardware, OS, runtime, inference engine, model, context, and application.
The goal is not to limit experimentation to one platform, but to understand how AI systems behave across different environments.
ABOUT
I’m a self-taught AI systems builder and experimenter. I explore local LLMs, inference, automation, agent architecture, and practical AI systems with a focus on finding what actually works.
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If you have a business problem, technical question, or AI opportunity that needs validation, feel free to reach out.
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