Daniel Long —

Full‑Stack Engineering • Cloud Architecture • Modular UI Systems • AWS AI Practitioner • GCP Certified • Python • Terraform • Serverless Platforms • Cognitive UX • Legacy‑Grade Modular Infrastructure

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Platform Ecosystem

Semantic Tagging Engine

Glossary Overlay System

AI Summary Mode (auto‑expand + overlays)

Cognitive UX Framework

ShellChronicle — Core Journaling Platform

SecureChronicle — Encrypted Logging Engine

Chronicle Mode — Multi‑Mode Interface

Supervisor‑Grade Audit Logging

Export & Clipboard Fallback Logic

Milestone Logging System

TTS Terminal — Multi‑Language Text‑to‑Speech Interface

Terminal Snapshot Service

Modular Input Components

LMS — Modular Learning System

Micro‑Lesson Engine

Reinforcement & Recall Layer

NimbusCounter — Serverless Counter Service

Contact API — Secure Cloud Run API

Multi‑Region GCP Architecture

Terraform IaC Modules

IAM & Private‑First Identity Layers

Serverless Pipelines

Observability & Cost‑Optimized Architecture

ShellChronicle Studio

Modular Cipher Expansion

Multi‑User Support

Sync Services

Cloud Architecture

Multi‑region Cloud Run • Terraform IaC • Firestore • Cloud Functions • IAM • CI/CD • Serverless Pipelines • Observability • Cost‑Optimized Architecture

ShellChronicle runs on a modular, multi‑service GCP architecture designed for scalability, low latency, and future multi‑user support. Every component — from journaling logic to encryption to export pipelines — is built as a reusable module with supervisor‑grade auditability.

Reusable Modules

Journaling Engine
Encryption Utilities (Caesar + Modular Cipher Framework)
AI Summary Overlays
Glossary Processors
Semantic Tagging Triggers
Auto‑Expand Logic
Drag‑Handle Mechanics
Modular Input Components
Terminal UI Components
Export & Clipboard Fallback Logic
Multi‑Service Integration Layer
Integrity‑Grade Audit Logging

Projects

ShellChronicle — Cognitive Journaling Platform
SecureChronicle — Encrypted Logging Engine
TSS Terminal — Multi‑Language Terminal Interface
LMS — Modular Learning System
NimbusCounter — Serverless Counter Service

Platform Roadmap

AI Summary Mode (auto‑expand + cognitive overlays)
Multi‑User Support & Identity Layers
SecureChronicle Encryption Expansion
Screenshot‑to‑Tag Engine
ShellChronicle Studio
Sync Services & Cross‑Device Continuity
Cost‑Optimized Multi‑Region Architecture

Recent Milestones

Completed AWS AI Practitioner Certification
Locked in Chronicle Mode layout & app.py structure
Built TSS Terminal with snapshot logging
Integrated official ShellChronicle background
Added semantic tagging, glossary overlays, auto‑expand logic
Built Contact API on Cloud Run
Architecture poster planned for final ShellChronicle release
Added Caesar Cipher + modular encryption framework

Tech Stack

Cloud: GCP (Cloud Run, Firestore, Functions, IAM, Build, Hosting)
Infrastructure: Terraform IaC
Backend: Python, Guinform, Flask, API Design
Frontend: HTML/CSS, Modular Design System
Cognition Layer: Semantic Tagging, Glossary, Summary Overlays
Security: Encryption Framework, IAM, Private‑First Logging

About Me

I’m Daniel Long — a Full‑Stack Cloud & Cognition Engineer with nearly 20 years of construction and fire protection engineering experience, now building modular cloud platforms that blend cognitive UX with serverless architecture.

I work across the full stack — from modular UI systems to serverless cloud infrastructure — building cohesive, cognitive platforms designed for clarity, modularity, auditability, and legacy‑grade performance.