[ AUTH_LEVEL: TERMINAL_ADMIN ]

TELEMETRY_LOG // ACTIVE_SESSIONS

J_MEYER

Configuration drift eliminated. Orchestrating 4,281 hosts across the infrastructure.

OPERATOR_DOSSIER //

FILE_ID: GUARDIAN_BOB

J_MEYER

DATA_AUTOMATION_ENG // AI_SYSTEMS_ARCHITECT UPLINK_ACTIVE // THREAT_LEVEL: NOMINAL

MISSION_LOG //

Started as a teenager building on Geocities, disciplined by six years in Navy systems thinking, acquired a master's in Management Information Systems, then committed fully to software after a Python bootcamp. Today: solo engineer designing and shipping production systems end-to-end. 8 applications delivered in the past year. 115 Docker containers across 5 servers running 83+ services with zero vendor lock-in. Most recent pivot: engineering Model Context Protocol servers and autonomous agent orchestration systems. Still chasing the same thing I was chasing at 14: the satisfaction of building something that works.

ACTIVE_SUBSYSTEMS //

— DATA_PIPELINE_INGESTION: Multi-source API integration, schema mapping, Celery orchestration, ~10K records/day
— REST_API_MICROSERVICES: Django/DRF endpoint mesh, JWT/OAuth2, async task queues, multi-database routing
— CONTAINER_FLEET_MANAGEMENT: 5 servers, 83+ Docker services, 47 databases, GitLab CI/CD orchestration, Prometheus monitoring
— AGENT_ORCHESTRATION_ENGINE: MCP server infrastructure, persona compression pipeline, 13 agent templates, sub-agent validation loop
— KNOWLEDGE_&_DOCUMENTATION_SYSTEMS: TriliumNext runbooks, CloudBeaver multi-database IDE, GitLab CE repository + wiki, automated backups

OPERATOR_METRICS //

8 APPS_SHIPPED

115 CONTAINERS_LIVE

10K RECORDS/DAY

85% OPS_REDUCTION

SKILL_MATRIX //

LANGUAGES_//

PYTHON TYPESCRIPT JAVASCRIPT SQL BASH POWERSHELL

BACKEND_//

DJANGO_5 DRF CELERY_5 NODE.JS EXPRESS.JS FLASK JWT OAUTH2

FRONTEND_//

VUE_3 QUASAR REACT_19 VITE PINIA AG_GRID CHART.JS

DATA_&_DATABASES_//

POSTGRESQL REDIS MONGODB MYSQL SQLITE ETL_PIPELINES CLOUDBEAVER

INFRA_&_DEVOPS_//

DOCKER DOCKER_COMPOSE GITLAB_CI/CD AZURE NGINX UBUNTU_SERVER PROMETHEUS GRAFANA

AI_SYSTEMS_//

MCP_SERVERS ANTHROPIC_API OPENAI_API AGENT_ORCHESTRATION PROMPT_ENGINEERING SUB_AGENT_LOOPS

SECURITY_&_AUTH_//

JWT_AUTH AUTHENTIK VAULTWARDEN UFW_IPTABLES FAIL2BAN SSH_HARDENING

MISSION_DIRECTIVES //

AUTOMATE_OR_ITERATE

Manual ops are a vulnerability. Every repeatable process gets scripted, containerized, and scheduled. Overhead reduction targets: 85%+. No exceptions.

ZERO_DOC_NAVIGATION

Ambiguous requirements and undocumented APIs are design inputs, not blockers. Built KDS automation against a zero-documentation API by reverse-engineering live traffic. Ships anyway.

AI_AUGMENTED_DEVELOPMENT

Built MCP server compressing per-turn agent context load from ~600 tokens to ~20. Maintains 13 reusable agent-team templates. Human-in-the-loop where it matters; automated everywhere else.

SELF_HOSTED_SOVEREIGNTY

83+ services. 5 servers. 47 databases. GitLab CE, private registry, Prometheus/Alloy, Authentik, Vaultwarden — all self-operated. Zero vendor lock-in. Solo operator.

SYSTEM_RECORD //

CLEARANCE_LEVEL FULL_STACK_ARCHITECT

PRIMARY_STACK PYTHON / DJANGO / VUE3

DOMAIN_SECTOR DATA_ENG // AI_OPS

AVAILABILITY REMOTE_READY

DEPLOYMENT_STATUS ACTIVE

NET_STATUS PIPELINES_ACTIVE

PASSWORD_UTILITY // v1.0 GITHUB_REPO launch lock

HASHTERM

Client-side password hashing utility for secure Docker credentials and DevOps workflows.

100%_CLIENT_SIDE | OFFLINE_CAPABLE | ZERO_TRACKING

vpn_key

ALGORITHMS

BCRYPT ● HIGH

ARGON2ID ● HIGHEST

SHA-256/512 ● MODERATE

MD5 ● LEGACY

Configurable parameters: cost factors, memory, iterations, parallelism

cloud_off

CLIENT_SIDE_ONLY

All cryptographic operations in browser. Zero transmission. No server logging. Complete privacy.

DOCKER_READY

Generate pre-hashed credentials for PostgreSQL, MySQL, and containerized applications instantly.

devices

UNIVERSAL

Chrome 64+, Firefox 60+, Safari 12+, Edge 79+. Works offline after initial load.

SHIFTPAW // v1.1 GITHUB_REPO launch pets

SHIFTPAW

Native Android veterinary clinic schedule management. Upload DOCX files, view shifts in interactive calendar, filter by employee, track assignments. MVVM + Jetpack Compose.

DOCX_IMPORT | CALENDAR_VIEW | OFFLINE_READY

memory

ARCHITECTURE

MVVM_PATTERN ● CORE

JETPACK_COMPOSE ● UI

ROOM_DATABASE ● STORAGE

HILT_DI ● INJECTION

Clean Architecture: Data → Domain → UI layers

upload_file

DOCX_PARSER

Apache POI-based table parsing. 14-column layout detection. Auto-detects month from filename (~80% accuracy). Extracts employee initials and shift types instantly.

schedule

SHIFT_TYPES

Day (07:00–19:00), Evening (10:00–22:00), On-Call (14:00–02:00), Night (18:00–06:00). Hardcoded times per type; future feature: custom scheduling.

person_search

EMPLOYEE_FILTER

Multi-select employee filtering. Set primary employee for highlighting. View shift statistics: total count, breakdown by type. Local state management via ViewModel.

ORCHESTRATOR // v1.0 GITHUB_REPO launch smart_toy

ORCHESTRATOR

Reusable sub-agent team loop. Build → Review → Merge → Next Task. Configurable builder/reviewer agents, living docs automation, gate runner with tests/lint/build. Project-agnostic. opencode/Claude Code skill + slash command.

auto_mode

Orchestration Loop | Multi-Agent | Living Docs

TASK_AUTOMATION | REVIEW_GATES | SPRINT_MERGE

workflow

PIPELINE

1. BUILD build

2. REVIEW thumbs_up_down

3. GATES fence

4. MERGE merge

5. NEXT check_small

Max retries on failure; human approval on sprint complete

group

CONFIGURABLE_AGENTS

Builder agents (architect, coder, tester). Reviewer agents (code-review, security). Map roles to any opencode agent. Parallel execution support. Per-project config in `.orchestrator.json`.

check_circle

GATE_RUNNER

Auto-detect test, lint, build from package.json / pyproject.toml / Cargo.toml. Pass/fail gates block merges. Audit trail in REVIEW_LOG.md. No override without `--force`.

description

LIVING_DOCS

MEMORY.md, STATUS_SUMMARY.md, GIT_COMMITS.md, REVIEW_LOG.md, TASKLIST.md auto-updated after each task. Audit trail. Living reference. Always in sync.

PROTOCOL_STACK //

ASYNC_ETL_PIPELINE

Celery + AMQP task orchestration for high-volume data ingestion, transformation, and normalization. Multi-source integration: reverse-engineered APIs, PostgreSQL schema mapping, historical data reconciliation. Parallel batch processing reduced runtime by 10+ hours. Handles ~10,000 records/day across 47 databases.

REST_MICROSERVICES

Django REST Framework stateless APIs with composable endpoint design. Authentication/authorization library patterns (JWT, OAuth2) reusable across full-stack applications. Async request handling via async/await + Celery; backend services communicate via gRPC or message queues.

MCP_AGENT_ORCHESTRATION

Model Context Protocol servers powering autonomous agent workflows and AI-augmented development. Persona compression pipeline: 600 tokens → 20–40 tokens per turn. 13 reusable agent-team templates. Builder-reviewer-gate-merge validation loop ensures consistency; sub-agents coordinate via memory consolidation.

STATUS: ENCRYPTED_STABLE