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╚═════╝ ╚═╝ ╚═╝ ╚═══╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═══╝╚══════╝ ╚═╝ ╚═╝ ╚═════╝
I'm an AI Engineer building production intelligent systems from first principles. My approach what I call Spectral Engineering treats complex AI problems like signal processing: decompose into fundamental frequencies, architect in layers, ship to production.
Current mission: Validating a methodology designed to scale across 300+ AI implementations through a portfolio of 52 specialized projects. From RAG pipelines and autonomous agents to blockchain-anchored truth systems, I operate across the full stack (Rust, Python, LLMs, Vector DBs, Web3).
I contribute to FreeCodeCamp, build in public, and document every system I ship.
My stack: L1 (Settlement/Blockchain) → L2 (Transport/APIs) → L3 (Semantic Memory/RAG) → L4 (Agentic Cognition) → L5 (Perception/Interface)
I don't just study AI I engineer it, ship it, and prove it works at scale.
My engineering philosophy is organized into a 5-layer cognitive stack, designed to separate concerns from sensory perception to immutable settlement.
graph TD
%% Nodes
L5("L5: Perception & Interface<br>(CV / Voice / Sensory)"):::percept
L4("L4: Agentic Cognition<br>(Autonomous Agents / reasoning)"):::agent
L3("L3: Semantic Memory<br>(RAG / Vector DB / Context)"):::memory
L2("L2: Transport & Compute<br>(Rust / APIs / Gateway)"):::compute
L1("L1: Settlement & Trust<br>(Blockchain / Truth Anchor)"):::trust
%% Flow
L5 --> L4
L3 --> L4
L4 --> L2
L2 --> L1
%% Styling
classDef percept fill:#0A66C2,stroke:#fff,stroke-width:2px,color:#fff
classDef agent fill:#E63946,stroke:#fff,stroke-width:2px,color:#fff
classDef memory fill:#F4A261,stroke:#fff,stroke-width:2px,color:#fff
classDef compute fill:#2A9D8F,stroke:#fff,stroke-width:2px,color:#fff
classDef trust fill:#264653,stroke:#fff,stroke-width:2px,color:#fff
|
|
|
graph TD
subgraph S1 [The Spectral Engine]
P(⚡ Complex Signal) -->|Deconstruction| D{💎 First Principles}
D -->|Architect| A[🏗️ L1-L5 Stack]
A -->|Implement| S[🚀 Scalable Production]
S -->|Telemetry| P
end
style S1 fill:#0D1117,stroke:#30363d,stroke-width:1px
style P fill:#0D1117,stroke:#A371F7,stroke-width:2px,color:#fff
style D fill:#0D1117,stroke:#00D4FF,stroke-width:2px,color:#fff
style A fill:#0D1117,stroke:#0A66C2,stroke-width:2px,color:#fff
style S fill:#0D1117,stroke:#2EA043,stroke-width:2px,color:#fff
I decompose intelligence into "fundamental frequencies" isolating core constraints (First Principles) before writing a single line of code. This ensures every system I build is grounded in physics and logic, not just hype. I don't just glue APIs; I architect vertically integrated systems.
From the low-level settlement layers (L1) and compute transport (L2) up to agentic cognition (L4) and sensory perception (L5), I engineer for reliability and scale. My code is the bridge between high-dimensional theory and low-latency production.
"True innovation sits at the edge of theory and production. My goal is to compress the timeline between 'reading a paper' and 'shipping a feature,' delivering rigorous AI systems that survive user contact."
- Alan Kay