---

🧠 About Me

struct Developer {
    name: &'static str,
    identity: &'static str,
    focus: Vec<&'static str>,
    languages: Vec<&'static str>,
    philosophy: &'static str,
}

impl Developer {
    fn new() -> Self {
        Developer {
            name: "TimWood 0x10",
            identity: "Timwood0x10",
            focus: vec![
                "Memory Safety & Runtime Visualization",
                "Static Analysis & Compiler Tooling (LLVM)",
                "Neural Network Interpretability & Profiling",
                "High-Performance Agent Frameworks",
            ],
            languages: vec!["Rust", "Go", "Zig", "Python"],
            philosophy: "At the intersection of systems programming and AI, I explore the deep logic of code.
                         Never settling for 'it works' — I demand to understand why.",
        }
    }
}

Former Web3 engineer. Currently building tools that understand memory — because Valgrind doesn't know what Arc<Rc<Box<...>>> means, and someone has to fix that.

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🏗️ Systems & Infrastructure

🔬 memscope-rs Rust runtime memory analysis tool Variable-level memory tracking that Valgrind and AddressSanitizer can't do. 🎯 7 detectors (leak, UAF, double-free, data race...) 📊 HTML interactive dashboard 🧵 Async task-level memory attribution 🔗 Arc/Rc clone detection & cycle detection ⚡ <5% tracking overhead, 4-thread super-linear scaling 📏 112K lines, 2,483 tests, 0 production panic Rust GlobalAlloc UTI-Engine Ownership-Graph

🔭 OmniScope LLVM IR static safety analysis in Zig Static unsafe/FFI boundary analysis at the LLVM IR level. 🔍 Unsafe block boundary detection 🔗 FFI call chain tracing 🛡️ Safety-first analysis philosophy Zig LLVM-IR FFI Static-Analysis

⚡ go-scheduler Minimal GPU scheduler for AI workloads Simple. Deterministic. Reliable. 🎯 Designed for inference workloads 📐 Deterministic scheduling 🚀 Minimal overhead Go GPU Scheduler AI

🌐 ethermint EVM-compatible blockchain in Go Fork from Evmos, ported Tendermint to sei-tendermint. ⛓️ EVM compatibility layer 🔧 Tendermint consensus adaptation 📦 Full blockchain node Go EVM Tendermint Blockchain

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🤖 AI & LLM

🤖 go-agent Multi-agent framework in Go Custom agent framework with memory distillation and vector search. 🧠 Multi-agent orchestration 📝 Memory distillation with PGVector 🔍 Embedding-based retrieval 🔄 Multi-round reasoning loops Go AI-Agents PGVector Embedding	🎨 StyleAgent AI-powered outfit recommendation system 🧠 AI-based style analysis 👕 Outfit recommendation engine 📸 Image understanding pipeline Python AI Recommendation Computer-Vision
📈 predict Crypto currency Decision Engine 📊 Market data analysis 🤖 ML-based prediction pipeline 💹 Trading signal generation Python ML Crypto Finance

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📚 Teaching & Visualization

📐 Basic_math Interactive ML math visualization system 32 interactive modules, 150+ Manim animations, 8 learning paths. 🎯 32 modules: linear algebra, optimization, DL, frontier 🎬 150+ Manim animation scenes 📊 Real-time parameter tuning & observation 🗺️ 133 concepts, 20-layer dependency graph 📐 Transformer parameter/FLOPs/memory calculators Python Streamlit Manim Math-Education

🏗️ Transformer_explorer Transformer & Mamba architecture visualization Math-driven deep learning architecture explainer with animations. 🎬 Manim animations: Encoder, Decoder, Cross Attention, RoPE 🐍 Mamba SSM: selective mechanism, discretization 🔬 Interactive: attention computation, softmax temperature 📊 Training: AdamW, BPE, mixed precision, loss analysis ⚡ Transformer vs Mamba complexity comparison Python Manim Streamlit Transformer

🔬 Model_explorer Neural network computation anatomy lab Layer-by-layer parameter, FLOPs and numerical computation analysis. 🔢 8 layer types: Conv2d, Linear, MHA, LSTM, Embedding... 📊 7 networks: ResNet, VGG, BERT, GPT-2, ViT... ⚡ Parameter/FLOPs/memory analysis with optimization tips 🏛️ Failure case museum: gradient vanishing, parameter explosion 🧬 Single neuron analysis: Sigmoid, Tanh, ReLU, LSTM, GRU Python Streamlit PyTorch Visualization

📖 beginML ML notes & tutorials Beginner-friendly machine learning learning materials. 📝 Comprehensive ML notes 🎯 From zero to practice 🌐 Interactive HTML format HTML Machine-Learning Education

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📊 Stats

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Contribution Graph

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🛠️ Tech Stack

Systems	AI & Data	Teaching

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💡 Philosophy

$ philosophy --query "what drives you"
> "In the world of 0x10, every line of code is an exploration.
>  From Rust's memory safety to Zig's low-level control,
>  From Transformer attention to LLVM instruction streams,
>  I believe: understand the foundations, then build the future.
>  Never settle for 'it works' — dig deeper."

Think boldly. Implement carefully. Question everything.