Skip to content
View TJ-Neary's full-sized avatar

Block or report TJ-Neary

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
TJ-Neary/README.md

TJ Neary

AI transformation leader bridging defense, commerical, and personal project operations, people strategy, and hands-on engineering. I transform strategic ambiguity into working systems — specializing in local-first AI, RAG pipelines, and privacy-preserving architecture on Apple Silicon.


Showcase

ResumePRO — AI-driven career search ecosystem that builds genuine contextual understanding of professional experience through conversational STAR interviews, then produces precisely targeted, ATS-optimized resumes using semantic matching and multi-framework job analysis. 2,656 tests across 16 role families. Python 3.12+ / Anthropic Claude / Sentence Transformers / Pydantic.

Kendra-AI — Local-first personal AI system orchestrating voice interaction, four-tier semantic memory, and 26 automation skills through a privacy-first architecture on Apple Silicon. Three-layer design with deterministic table-driven routing, dual LLM backend (Claude CLI + Ollama), hybrid BM25+vector experiential memory with knowledge graph, and deep macOS integration. 3,863 tests across 107 files. Python 3.13 / Claude CLI / Ollama / React 19 / FastAPI / Mem0 / LanceDB.

Centaur-Content-Engine — AI-powered content operations platform that automates research-to-draft pipelines while preserving authentic voice through multi-agent quality control and deterministic brand enforcement. Style fingerprinting from writing samples, Writer-Critic-Reviser iterative pipeline, analytics-driven strategy iteration, and a learning-to-content knowledge pipeline. 209 tests, 41 modules. Python 3.12+ / PyTorch / Anthropic Claude / Gemini / Ollama.

HQ-Command-Center — AI-augmented project command center coordinating 15 software projects across five AI agents from three competing platforms (Anthropic Claude, OpenAI Codex, Google Gemini). Multi-agent orchestration, automated standards distribution, cross-project communication, drift detection, strategic advisory board, and security pipeline. Python 3.12+ / Jinja2 / YAML / Ollama.

AI-Eval-Pro — Commercial LLM evaluation service benchmarking local and cloud models across text generation, embedding, and vision/OCR capabilities with hardware-aware recommendations. Capability dispatcher routing to three evaluation pipelines, 18 domain-specific scorers across 6 domains, model advisory pipeline with automated new-release detection, multi-project orchestration with SQLite queue and deduplication, and M4 Max optimization benchmarking. 799 tests, 72% coverage. Python 3.12+ / Ollama / Google Gemini / DeepEval / Sentence Transformers / Jinja2.

TommyTalker-Pro — Enhanced voice-to-text for macOS extending the open-source TommyTalker with multi-mode AI processing (Claude/GPT/Groq), transcription history, speaker diarization, auto-activation rules, and a 5-panel sidebar dashboard. 397 tests across 9 development phases. Python 3.12+ / PyQt6 / mlx-whisper / Anthropic SDK.

VA-Assistant — AI-powered VA claims analysis that discovers claimable conditions from medical records, identifies rating errors in VA decisions, and generates evidence-backed appeal packages. 9-phase condition discovery pipeline, dual-persona adversarial analysis, hybrid RAG search, 1,324 tests. Python 3.12+ / FastAPI / Qdrant / React / Anthropic Claude.

Top-Crawler — LLM-powered privacy-first web crawler with real-time AI monitoring, automatic configuration optimization, and comprehensive multi-format export. Local LLM continuously monitors crawl health, auto-halts on critical issues, and learns optimal settings per domain. Circuit breaker patterns, resumable crawls, and streaming media pipeline (HLS/DASH). 147 configuration parameters across 13 development phases. Python 3.14+ / Async Concurrent / Playwright / Ollama / SQLite FTS5.

WhoWho — Multi-interface personal CRM accessible through CLI, REST API, and Claude Desktop MCP tools. Three-interface convergence on a shared service layer with name-resolution pipeline, interaction logging with automatic contact updates, follow-up surfacing, and an Apple ecosystem bridge for reminders and calendar. 25 tests, 11 REST endpoints, 5 MCP tools. Python 3.11+ / FastAPI / SQLAlchemy 2.0 / FastMCP / Typer.

Open Source

CoreRag — Local-first knowledge engine with semantic search, GraphRAG, and Claude Desktop integration via MCP. Hybrid search (vector + BM25), cross-encoder reranking, multi-format document ingestion, and three-layer PII detection. 392 tests. Python 3.12+ / LanceDB / FastAPI / Sentence Transformers.

AI_Eval — LLM evaluation framework with hardware-aware benchmarking on Apple Silicon (M4 Max). Actionable model selection based on real-world performance across code generation, document analysis, and structured output. Supports local inference (Ollama) and cloud APIs. Extended commercially by AI-Eval-Pro. 203 tests. Python 3.12+ / MLX / Ollama.

TommyTalker — Privacy-first macOS voice intelligence suite. Push-to-talk with app-aware text formatting, session recording, and word replacement — no cloud dependencies. Optimized for Apple Silicon MPS acceleration. 95 tests. Python 3.12+ / Whisper / Metal.

Technical Focus

Domain Technologies
LLM Providers Anthropic Claude, Google Gemini, Ollama, OpenAI GPT, MLX
AI/ML Sentence Transformers, PyTorch, Whisper (mlx-whisper), DeepEval, HuggingFace
Data LanceDB, SQLite, Qdrant, ChromaDB, SQLAlchemy, Pydantic, GraphRAG, Mem0
Vision/OCR Tesseract, Surya, PaddleOCR, HuggingFace Vision, Playwright
Web & UI FastAPI, React 19, PyQt6, MCP servers (FastMCP), Jinja2, Typer
Infrastructure GitHub Actions, pytest, mutmut, asyncio
Platform macOS, Apple Silicon (M4 Max), Metal, MPS
Practices TDD (Red-Green-Refactor), mutation testing, type safety (mypy), security-first, C4 architecture, multi-agent orchestration

Background

25 years Air Force service (E-9 Chief Master Sergeant) leading organizational transformation, workforce strategy, and learning & development at scale. Now applying that systematic operational discipline to AI system architecture — translating complex requirements into tested, documented, production-grade implementations.

Credentials: MBA | PMP | PMI-ACP | SHRM-SCP | SAFe 6 Scrum Master | TS-SCI (active)


Location: Colorado Springs, CO Connect: LinkedIn

Pinned Loading

  1. AI_Eval AI_Eval Public

    Comprehensive LLM evaluation framework comparing local and cloud models with hardware-aware benchmarking. Evaluate across code generation, document analysis, and structured output using pass@k, LLM…

    Python

  2. CoreRag CoreRag Public

    Local-first knowledge engine with semantic search, GraphRAG, and Claude Desktop integration via MCP. Features hybrid search (vector + BM25), cross-encoder reranking, multi-format document ingestion…

    Python

  3. HQ-Command-Center HQ-Command-Center Public

    AI-Augmented Project Command Center — Multi-agent coordination across 14 projects using Anthropic Claude and Google Gemini

  4. ResumePRO ResumePRO Public

    AI-driven career search ecosystem: two-phase strategic positioning, semantic experience matching, conversational STAR interviews, and multi-framework job analysis for targeted resume generation.

  5. TommyTalker-Pro TommyTalker-Pro Public

    Privacy-first voice-to-text for macOS — local STT via mlx-whisper with app-aware formatting, AI post-processing, and push-to-talk dictation

  6. VA-Assistant VA-Assistant Public

    AI-powered VA claims analysis — condition discovery, decision review, and evidence-backed appeal preparation