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nathaniel-gordon/README.md
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Nathaniel Gordon

Senior AI & Machine Learning Engineer

Agentic AI  ·  RAG Systems  ·  Risk & Decision Intelligence

GitHub   Upwork

Typing Animation

— "The interesting part of an AI system is what happens when it's wrong."

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Tech Stack

Agentic AI RAG Systems ML and Risk CQRS Infrastructure

⚡ Snapshot

32
Public Repositories
Python & C++
Core Languages
RAG + Agents
Core Discipline
Tallahassee, FL
Based In

🧠 About

I'm a Senior AI & Machine Learning Engineer working across agentic systems, retrieval-augmented generation, and risk/decision models — the kind of software that has to keep running correctly after the demo is over.

Most of my repositories share a common discipline: define the failure modes first, then build the system that survives them.

🔄 End-to-End Decision & Agentic Lifecycle

flowchart TD
    A["🎯 Problem & Invariant Definition"] --> B["🏛️ Domain & State Modeling"]
    B --> C["⚡ Feature Engineering & Retrieval Pipeline"]
    C --> D["🤖 Agent Orchestration / Decision Model"]
    D --> E["🛡️ Guardrails, Red-Teaming & Evaluation"]
    E --> F["🚀 Production Serving & Streaming Layer"]
    F --> G["📊 Observability, Health & Human Escalation"]

    style A fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style B fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style C fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style D fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style E fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style F fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style G fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
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🧬 Graph Feature & Detection Pipeline

flowchart TD
    T["💳 Raw Transactions"] --> SA["🔗 Shared Attribute Extraction"]
    SA --> BG["🕸️ Bipartite Graph Construction"]
    BG --> GP["📐 Graph Projection"]
    GP --> LC["👥 Louvain Community Partitioning"]
    LC --> GF["🧬 Graph Topology Features"]
    GF --> ML["⚡ LightGBM Decision Engine"]

    style T fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style SA fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style BG fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style GP fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style LC fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style GF fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
    style ML fill:#1e2327,stroke:#4c72b0,stroke-width:2px,color:#ffffff
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Areas I work in:

  • 🤖 Agentic AI & multi-agent orchestration
  • 🔎 Retrieval-augmented generation (RAG)
  • 🛡️ AI security & adversarial robustness
  • 💳 Fraud detection & credit risk modeling
  • 📈 Forecasting & dynamic pricing
  • 🎧 Support automation & ticket triage
  • 🧾 Contract & document intelligence
  • 🕵️ Codebase intelligence & automated review
  • ⚙️ AIOps, monitoring & incident response
  • 🧬 Feature engineering & ML data infrastructure

🏆 Featured Systems

AGENT ORCHESTRATION

Composable agentic workflow engine built on the Actor model — mailboxes, DAG scheduling, and compensation sagas for workflows that need to unwind cleanly when a step fails.

Actor Model DAG Scheduling Sagas


View Repository

🗣️ querymind

AGENTIC AI

Natural-language SQL analytics agent — schema introspection, an AST compiler pipeline, enforced read-only execution, and a self-correcting REPL loop when a query fails.

Schema Introspection AST Pipeline Self-Correcting


View Repository

🛡️ ragshield

AI SECURITY

Agentic RAG security research framework — an intentionally vulnerable pipeline covering attack vectors like corpus poisoning and tool injection, paired with modular defenses for red-teaming and benchmark development.

Corpus Poisoning Tool Injection Red Teaming


View Repository

REAL-TIME FRAUD DEFENSE

Real-time credit card fraud defense — CQRS and event sourcing for auditability, stream-safe rolling state for live scoring, and an interactive TUI for fraud analysts.

CQRS Event Sourcing Streaming


View Repository

CREDIT RISK

Bank-grade credit risk scorecard engine — Weight-of-Evidence and Information Value binning, with automated adverse-action reason codes for regulatory-grade explainability.

WOE / IV Scorecards Explainability


View Repository

FORECASTING

Production-grade short-term energy load forecasting — 24-horizon direct models, weather coupling, and peak-demand alerting for grid operations.

Direct Forecasting Weather Coupling Peak Alerts


View Repository


🔬 Engineering Work by Domain

🤖 Agentic AI & Orchestration

Autonomous agents that coordinate tasks, execute tools, and recover from failures.

  • flowmind — Actor-model workflow engine with compensation sagas.
  • meetmind — Meeting commitment ledger & time-travel tracker.
  • researchforge — Blackboard multi-agent research team.
  • toolrank — Unified tool ranking & retrieval for LLM agents.
  • memcurve — Ebbinghaus forgetting curve memory server (MCP).
  • datasage — Autonomous statistical analysis & modeling agent.

🔎 Enterprise Search & RAG

High-precision retrieval systems that cite verifiable sources and prevent hallucination.

  • knowbase — Hexagonal RAG with hybrid BM25 + TF-IDF fusion.
  • papermind — Scientific literature indexing & claim mining.
  • corrector — Corrective RAG with dynamic web fallback.
  • clauseiq — Legal contract intelligence & risk scorer.
  • graphret — Knowledge-graph curriculum training for retrievers.
  • entitytree — Cuckoo-filter accelerated tree RAG (85% lower latency).
  • deflectiq — Confidence-gated support deflection & escalation.

🛡️ AI Security & Privacy

Hardening generative AI against adversarial exploits, data leaks, and poisoning.

  • ragshield — Red-teaming framework for corpus poisoning & tool injection.
  • privgen — Differentially private RAG diffusion with provable DP bounds.

💳 Fraud Defense & Credit Risk

Real-time transaction scoring and bank-grade credit risk modeling.

  • fraudshield — Real-time CQRS fraud defense with live TUI.
  • riskscore — Weight-of-Evidence scorecard with adverse-action codes.
  • retainiq — Calibrated churn probability & retention ROI playbooks.

📈 Forecasting & Dynamic Pricing

Predictive optimization for revenue, energy grids, and inventory.

  • wattcast — 24-horizon energy load forecasting with weather coupling.
  • pricewave — Price elasticity estimation & margin optimization.
  • stockmind — Newsvendor safety stock & replenishment simulator.
  • splitforge — Sequential mSPRT testing & A/B inference engine.

⚙️ AIOps & Code Intelligence

Autonomous SRE incident triage, metric anomaly detection, and automated review.

  • alertpulse — Autonomous SRE incident response state machine.
  • pulsequard — Real-time metric anomaly streaming & flap suppression.
  • triagehub — Multi-label ticket classifier & SLA smart router.
  • codesentry — Automated code review rules engine & AST analysis.
  • codeoracle — Codebase AST symbol chunking & cross-file tracing.

🔧 Recommendation, Fleet Health & ML Infrastructure

Production ML pipelines, high-throughput feature stores, and predictive fleet health.

  • talentmatch — Skill taxonomy ontology graph & bipartite candidate matching.
  • recocore — Hybrid collaborative & content recommendation system.
  • maintainiq — Fleet remaining-useful-life (RUL) estimator & schedule optimizer.
  • featforge — Feast + Ray distributed feature engineering with point-in-time correctness.

🏗️ Recurring Engineering Patterns

Pattern Value & Focus Reference Repo
Actor Model / DAG Scheduling Resilient async orchestration & saga rollback flowmind
Self-Correction REPL Natural-language query AST compilation loop querymind
Adversarial Red-Teaming Poison injection & retrieval defense evaluation ragshield
CQRS & Event Sourcing Audit-grade stream state & zero data loss fraudshield
Weight-of-Evidence Binning Regulatory-compliant credit risk scoring riskscore
Direct Multi-Horizon Forecast Peak load modeling with weather coupling wattcast
Hexagonal Architecture Port/adapter isolation for enterprise RAG knowbase
Corrective Retrieval Fallback web augmentation on low confidence corrector
Differential Privacy Strict mathematical privacy guarantees privgen
Finite State Machine Deterministic incident diagnosis & actions alertpulse
Point-in-Time Correctness Zero-leakage distributed feature serving featforge

🏅 GitHub Achievements

Pull Shark    Quickdraw    Pair Extraordinaire    Arctic Code Vault Contributor    YOLO    Starstruck


🎯 Engineering Philosophy

💡 "The interesting part of an AI system is what happens when it's wrong."

Anyone can build a demo that succeeds under happy-path conditions. Real engineering is building software that continues to operate reliably when inputs get noisy, models hallucinate, dependencies fail, or adversaries probe boundaries.

🛡️ Graceful Failure
Automated fallback, escalation & saga compensation
🔍 Full Auditability
Immutable event logs, CQRS & decision provenance
⚖️ Model Calibration
Probabilities you can actually bet capital on
👤 Human Oversight
Confidence gating with smooth operator override

🌐 Connect

GitHub    Upwork

Agentic systems and decision models that hold up under load.

© Nathaniel Gordon · AI / ML Engineering

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  1. flowmind flowmind Public

    Composable agentic workflow engine built on the Actor model with mailboxes, DAG scheduling, and compensation sagas.

    Python

  2. mcpforge mcpforge Public

    Compiler & CLI: Transform OpenAPI/Swagger specifications into production-grade Model Context Protocol (MCP) servers with semantic compression and OAuth2 auth.

    TypeScript

  3. production-ml-systems production-ml-systems Public

    Production ML systems design & testing suite: Dual-storage feature stores with point-in-time correctness, high-throughput model serving, and statistical drift observability.

    HTML

  4. querymind querymind Public

    Natural language SQL analytics agent with schema introspection, AST compiler pipeline, read-only safety, and self-correcting REPL.

    Python

  5. ragshield ragshield Public

    Agentic RAG security research framework with attack vectors (corpus poisoning, tool injection) and modular defenses for red-teaming.

    Python

  6. vectorbench vectorbench Public

    100M-scale vector database benchmark suite evaluating Qdrant, Weaviate, Milvus, pgvector, Pinecone, and Chroma on Recall@10, QPS, P99 latency, and cost.

    HTML