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TerminalGravity/README.md

Hi, I'm Jack Felke 👋

I'm a Professional AI Engineer & Developer at All Digital Rewards, building innovative, commercial-grade projects and open source tools that push the envelope in AI and full-stack development.


About Me

I believe in continuous improvement both personally and professionally. Inspired by the habit stacking method from Atomic Habits by James Clear, I design bulletproof routines that include breathwork, cardio, and walks with Stella.

In 2026, I'm accelerating my focus on AI infrastructure, MCP (Model Context Protocol) development, and next-generation developer tools. I've been shipping innovative projects that enhance Claude's capabilities and exploring agentic trading systems while maintaining a healthy, balanced lifestyle.


2026 Goals & Focus

Personal Development

  • Wellness: Maintain daily Duolingo streak while mastering Chinese and French
    • Sustainability: Build creative momentum through consistent, balanced routines

    • Active Projects

    • I'm actively shipping and maintaining several projects:

    • | Project | Focus | Status |

    • |---------|-------|--------|

    • | vizcraft | AI-Native Diagramming MCP Server for Claude Code | ✨ Recently shipped |

    • | SystemPulse | Native macOS system monitoring (Swift) | Active |

    • | codebrain | Context index for AI coding agents | In development |

    • | claude-orchestrator-mcp | Multi-agent session coordination | In development |

    • | spy-Odte-agency | SPY ODTE options trading agent | In development |

    • 2026 Priorities

      • Master MCP patterns for Claude ecosystem integration
        • Build agentic systems with advanced reasoning (DeepSeek R1, o3-mini)
          • Scale AI pipelines with evaluations, guardrails, and model optimization
            • Expand native development to iOS, watchOS, and visionOS

              • Deepen full-stack expertise in Angular, Node.js/TypeScript, and modern frameworks

              Technical Stack

              Frontend

              Frameworks: React, Next.js, Vue, Angular, Vite | Languages: TypeScript, Swift | UI: shadcn/ui, Material Design

              Backend & Runtime

              Languages: Node.js, TypeScript, Python | Tools: Flask, Bun.js, Docker

              AI & LLM Operations

              Specializations: LLM fine-tuning, prompt engineering, reasoning models, RAG optimization, multi-agent orchestration

              Platforms: OpenAI, Anthropic Claude, DeepSeek, Google Gemini, HuggingFace

              Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Vercel AI SDK

              Vector Databases: Qdrant, Pinecone, Supabase PGVector, Chroma, FAISS

              Data & Infrastructure

              Databases: PostgreSQL, MongoDB, Supabase | Cloud: Docker, Vercel, AWS, Google Cloud


              Professional Journey

              At All Digital Rewards, I've grown from building foundational AI solutions to architecting next-generation developer tools:

              Key Achievements:

              • Deployed production AI chatbots with role-based context and vector store infrastructure
                • Built scalable TypeScript/Bun.js solutions with Docker, TypeORM, and Qdrant
                  • Designed complex RAG pipelines with evaluations and callback tracing

                    • Created MCP servers enhancing Claude ecosystem productivity

                    • Current Mindset: Consistency compounds. Every commit, refactor, and shipped feature builds momentum. I believe in shipping quality products while continuously learning and improving.


                    Connect

Pinned Loading

  1. ai-git-cli ai-git-cli Public

    Python

  2. openai-realtime-api-voice-assistant-V2 openai-realtime-api-voice-assistant-V2 Public

    Forked from Barty-Bart/openai-realtime-api-voice-assistant-V2

    OpenAI Realtime API Voice Agent with RAG, Function Calling, and Caller History

    JavaScript

  3. youtube-ai-extension youtube-ai-extension Public

    TypeScript

  4. next.js-report-mAIstro next.js-report-mAIstro Public

    Forked from langchain-ai/open_deep_research

    TypeScript