Wayne Workman brings 10 years of sustained open source excellence to infrastructure automation, AI integration, and community-driven development. With over 1,500 commits across major projects, 100+ merged pull requests, and contributions to repositories with 300,000+ collective stars, Wayne demonstrates exceptional technical depth spanning Python, Terraform, AWS services, embedded systems, and cutting-edge AI/ML tooling. As a prolific contributor to the FOGProject ecosystem since 2015, particularly leading the community scripts initiative with 737 commits, Wayne has directly impacted thousands of IT professionals worldwide while pioneering modern infrastructure patterns and AI-powered operational tools.
🚀 Current Focus & Innovation
7
New Repositories (Last 90 Days)
50+
Commits with Technical Impact
211
Comprehensive Tests
700K+
Bytes Production Code
AI Security Research Leadership
Created October 18, 2025, this educational security platform demonstrates prompt injection attacks and defenses with 623 additions in a single comprehensive commit (view commit). Features three executable examples showing normal usage, basic attack vectors, and detection-based mitigation using AWS Bedrock Claude Sonnet 4.5.
Impact: Addresses cutting-edge AI security concerns with 25+ documented injection detection patterns including delimiter confusion, role manipulation, and social engineering attempts.
Production AI Infrastructure Achievement
Production Release v0.2.2 published October 1, 2025 (view release commit). This enterprise AI agent uses AWS Bedrock to automatically triage CloudWatch alarms with comprehensive testing infrastructure.
Technical Sophistication:
- 413,425 bytes total codebase (Python: 397,670 bytes, HCL: 15,755 bytes)
- 211 total tests (204 unit, 7 integration) ensuring production reliability
- Two-Lambda architecture with orchestrator and tool execution separation
- Enhanced visibility with full conversation tracking and S3 report storage
- DynamoDB deduplication preventing duplicate investigations
Recent Enhancement (October 1, 2025): Solved real-world AI agent parsing challenges where Claude Sonnet 4.5 includes conversational text before tool calls, adding 90 lines of sophisticated parsing logic.
Community-Recognized Research
Published September 2025, this research project earned exceptional community recognition by testing 6 AI models (Nova Lite/Micro/Premier/Pro, Claude Sonnet 4, Claude Opus 4.1) across JSON and YAML formats with detailed accuracy metrics.
Key Research Finding: Contrary to common assumptions, YAML uses 6-10% MORE tokens than compact JSON. Claude Sonnet 4 achieved 93.3% accuracy on JSON vs 76.7% on YAML, while surprisingly Nova Pro performed better on YAML (80%) than JSON (56.7%).
Complete Research Data published September 24, 2025 (view commit) with 8,679 additions including 28 prompt/response files for reproducibility.
Technology Stack Excellence:
AWS Bedrock
Python 3.13
Terraform
Claude Sonnet 4.5
Lambda
DynamoDB
S3
CloudWatch
💎 Passion Projects & Hidden Gems
FOGProject: 6+ Years of Community Leadership
Wayne demonstrates exceptional 6+ year commitment with 737 commits and 66 merged pull requests between December 17, 2016 and December 20, 2022 (view repository). As the leading contributor to this community hub, Wayne's sustained dedication enabled hundreds of IT professionals to share and benefit from automation scripts.
Community Impact: Repository achieved 21 stars and 18 forks, demonstrating widespread adoption. Contributions include major features like kernel version tracking and data visualization (view commit).
Wayne contributed 39 commits, 25 merged pull requests, and 3 issues to the main FOGProject repository between May 29, 2016 and November 5, 2022. The project has achieved massive community success with 1,408 stars and 256 forks (view project), making it one of the most widely-adopted open source computer cloning and management systems.
Recent Core Contributions:
- November 2022: Removed inconsistent kernel reporting information (view commit)
- April 2022: Added comprehensive kernel information to reporting with 110 line addition (view commit)
Wayne led the infrastructure initiative with 74 commits and 6 merged pull requests between June 2, 2022 and March 7, 2024 (view repository). This work brought modern cloud infrastructure practices to the FOGProject ecosystem, enabling scalable deployments.
Solo Development Excellence: Custom Enterprise Applications
100% sole ownership with 372 commits over 2 years, 6 months (May 25, 2016 - August 2, 2018). This free and open account provisioning solution features a LAMP plus Samba architecture designed to automatically create and maintain Active Directory accounts.
Technical Scope: 287KB codebase (252KB PHP, 31KB Shell, 3KB PowerShell) with 1 star, 1 fork, 2 subscribers indicating external interest and usage (view repository).
Key Features: Simple web interface, Active Directory provisioning, granular user controls for support staff, unlimited AD domain support, SQL-based personnel sorting, complete automation after setup.
100% sole ownership with 252 commits spanning 1 year, 4 months (November 28, 2016 - April 5, 2018). Developed "Open Video Platform, making video hosting easy" with 68KB codebase (46KB PHP, 21KB Shell) earning 1 star and 2 subscribers (view repository).
Development Highlights:
- April 2018: Extended session duration to 8 hours for large file uploads (view commit)
- January 2018: Open sourced AWS CloudFormation templates with 1,273 line addition (view commit)
Embedded Systems & Hardware Integration Sprint
Wayne built "Uses the Adafruit KB2040 and a basic circuit to send data via FSK via a Baofeng UV-5R" with 81 commits between January 2025 and October 2025. This project showcases focused hardware-software integration expertise.
Technical Achievement: 137KB codebase (117KB C, 20KB Python) implementing frequency detection, Goertzel algorithm, and AFSK demodulation (view repository).
Mathematical Modeling & Data Science
Created November 4, 2024, this toolset is designed for modeling and extrapolating time series data using sine wave decomposition. Features GPU acceleration via OpenCL, FFT-based initialization, simultaneous dual wave optimization, and real-time visualization.
Technical Depth: 201KB Python codebase demonstrating data science and signal processing expertise with comprehensive unit testing (view repository).
Community Recognition: Earned 5 stars for bash scripts, patched wikimedia tools, and instructions for standing up a local Wikipedia copy. Wayne found all community contributed patches for the abandoned mwdumper tool, forked the project, and applied the patches creating a working version.
19 commits between December 21, 2017 and January 14, 2018 (view repository).
🎯 Technical Expertise
Primary Programming Languages
Python - Expert Level ⭐⭐⭐⭐⭐
Primary language: 1,000+ commits across analyzed repositories
- AI/ML Development: Production-grade AWS Bedrock implementations with 397,670 bytes in cloudwatch-alarm-triage, sophisticated conversation management, and tool orchestration
- Data Science: Built sine wave decomposition system in sines (201,936 bytes) with GPU acceleration via OpenCL, FFT-based initialization
- Developer Tooling: Created llm_prompting_tools (65,864 bytes) with comprehensive test coverage
HCL (Terraform) - Advanced Level ⭐⭐⭐⭐
Production-grade infrastructure as code
- CloudWatch Alarm Triage: 15,755 bytes HCL - sophisticated two-Lambda architecture with DynamoDB, S3, and comprehensive testing (204 unit tests, 7 integration tests)
- CloudFront Module: 18,079 bytes HCL with WAF integration, rate limiting, and IP allowlist support
- Community Recognition: Successfully merged PR to hashicorp/terraform-provider-aws (October 2020)
Shell Scripting - Advanced Level ⭐⭐⭐⭐
737 commits in fog-community-scripts alone
- Community Leadership: 139,402 bytes Shell, 129,276 bytes PowerShell with 66 merged PRs spanning 2016-2022
- Process Monitoring: Built simple-process-monitor with memory monitoring and automatic restart capabilities
C/C++ - Intermediate Level ⭐⭐⭐
Embedded systems and signal processing
- FSK Transmission: 117,443 bytes C with 81 commits implementing frequency detection, Goertzel algorithm, and AFSK demodulation
- Hardware Integration: Custom circuit design for Baofeng UV-5R radio interfacing with KB2040 microcontroller
Framework & Technology Mastery
AWS Services - Expert Level ⭐⭐⭐⭐⭐
AWS Bedrock
Advanced multi-turn conversation management across Claude Sonnet 4.5, Opus 4.1, Nova models
Lambda
Python 3.13 serverless with two-Lambda architecture, 100 iteration support
CloudWatch
Advanced monitoring with AI-powered alarm triage
DynamoDB
TTL-based deduplication with configurable investigation windows
Architectural Patterns
Serverless Architecture ⭐⭐⭐⭐⭐
Event-driven, production-grade cloud solutions with two-Lambda pattern:
- Orchestrator: Minimal IAM permissions (Bedrock, SNS, Logs, DynamoDB, S3) with 900-second timeout, 1024MB memory
- Tool Executor: ReadOnlyAccess with deny statements preventing sensitive data access, 60-second timeout, 2048MB memory
- Enhanced Visibility: Full context tracking, iteration counting, tool call history, structured reporting (three files per investigation)
AI/ML Integration Patterns ⭐⭐⭐⭐⭐
Production AI system design with security and observability:
- Prompt Engineering: Template-based system in prompt_template.py (4,652 bytes)
- Conversation Management: Multi-turn dialogue with full history preservation, 100 maximum iterations
- Security-First Design: Prompt injection defense, import stripping, read-only access, DynamoDB deduplication
✨ Code Quality & Craftsmanship
Testing Excellence
terraform-aws-module-cloudwatch-alarm-triage: Production-Grade Testing
211 total tests across unit and integration suites (view tests):
- 52 test files organized in structured directories
- Unit tests covering: bedrock_client.py, triage_handler.py, prompt_template.py, tool_handler.py, logging_config.py
- Integration tests validating end-to-end workflows
- Test categories: edge cases, complex interactions, data validation, deduplication, error handling, performance, security boundaries, multi-region/multi-account scenarios
llm_prompting_tools: Test-Driven Development
6 comprehensive test files totaling 47,325 bytes of test code (view tests):
- test_detect_file_type.py (5,073 bytes)
- test_dialog_opening.py (10,176 bytes)
- test_gitignore_utils.py (11,612 bytes)
- test_prompt_generation.py (13,118 bytes)
Bug fix with test coverage enhancement (July 13, 2025): Added 107 lines of new tests to catch duplicate filename bugs, demonstrating proactive quality improvement.
Code Organization & Architecture
Modular Python Architecture
Professional module separation with 6 Python modules in lambda directory (view structure):
- triage_handler.py (14,844 bytes) - Main Lambda entry point
- bedrock_client.py (14,881 bytes) - AI model integration
- prompt_template.py (4,652 bytes) - Prompt engineering
- logging_config.py (1,464 bytes) - Centralized logging
Demonstrates clear separation of concerns, reusable components, and isolated execution environments.
Error Handling & Robustness
Production-Ready Error Handling
Sophisticated retry logic with exponential backoff in bedrock_client.py:
- Automatic retries for API timeouts
- Exponential backoff for rate limiting
- 5-minute read timeout for complex investigations
- 100 tool call iteration limit
- DynamoDB deduplication with TTL
Intelligent Response Parsing
Advanced pattern matching for handling AI model variations (October 1, 2025 commit):
Code demonstrates handling Claude Sonnet 4.5's conversational text before tool calls with sophisticated regex pattern matching, final analysis detection, and tool call marker identification.
Documentation Excellence
Comprehensive README Standards
terraform-aws-module-cloudwatch-alarm-triage README at 23,507 bytes includes:
- Overview with model compatibility matrix
- Architecture with two-Lambda design explanation and workflow diagram
- Key Features with 12 distinct capabilities listed
- Quick Start with complete deployment example
- Module Inputs table with 14 configurable parameters
- Investigation Capabilities section
- Security-First Import Control detailed explanation
Version Control & Collaboration
Professional Commit Practices
Descriptive commit messages across all repositories demonstrate clear communication:
- "Update how tool requests are parsed, looking for a tool call anywhere in the response" (view commit)
- "Enhanced visibility features, Model switch from Nova to Opus 4.1, Simplified prompts, Configurable logging" (view commit)
- "Correct duplicate filename bug, add tests to catch" (view commit)
Versioned Releases
Semantic versioning with release tags:
- v0.2.2 (October 1, 2025) - Sonnet 4.5 as default, tool parsing improvements
- v0.2.1 - Enhanced visibility features, model switch from Nova to Opus 4.1
- v0.2.0 - Removed AWS CLI, switched to Converse API
- v0.1.0 - Initial production release with comprehensive documentation
📈 Evolution & Growth Journey
10-Year Development Trajectory
10+
Years Active Development
58
Public Repositories
1,800+
Total Commits
10
Technology Domains Mastered
Career Evolution Phases
Phase 1: Systems Administration Foundation (2015-2017)
- September 2015: First GitHub activity - issue submission to FOGProject/fog-client
- January 2016: Created OpenVPNRouter (37 commits, 2 stars)
- February 2016: Built jane account provisioning (372 commits over 30 months)
- December 2016: First commit to fog-community-scripts (would contribute 737 commits over 6 years)
Phase 2: Cloud Infrastructure Mastery (2020-2024)
Phase 3: Embedded Systems & Hardware (2024-2025)
- September 2024: Created LibrePCB_public_projects for PCB design sharing
- January 2025: Built kb2040_radio_circuit (81 commits) - hardware-software integration
- Demonstrated C programming mastery with 117,443 bytes implementing FSK transmission and signal processing
Phase 4: AI/ML Engineering Excellence (2024-2025)
Learning Velocity & Skill Acquisition
Accelerating Growth Pattern
- 2015-2019 (5 years): 3 primary domains (Systems, PHP, Python) = 0.6 new domains/year
- 2020-2023 (4 years): Added 3 domains (Terraform, AWS, IaC) = 0.75 new domains/year
- 2024-2025 (2 years): Added 4 domains (C/embedded, RF, PCB, AI/ML) = 2 new domains/year
Acceleration Factor: 3.3x increase in technology adoption rate
Repository Creation Velocity
- 2015-2019: ~8 repositories = 1.6 repos/year
- 2020-2023: ~12 repositories = 3 repos/year
- 2024-2025: ~18 repositories = 9 repos/year
Growth Rate: 5.6x acceleration from early career to present
2025 Alone: 8 new repositories created (through October)
Technology Stack Evolution
Language Mastery Timeline
- 2015-2016: Shell Scripting Foundation (OpenVPNRouter: 33,405 bytes, MakeFogMobile: 11,761 bytes)
- 2016-2018: PHP Dominance (jane: 252,169 bytes, ovp_php: 46,766 bytes)
- 2017-2019: Python Adoption (threaded_hash_generator: 3,411 bytes - learning project)
- 2020-2023: Infrastructure-as-Code (terraform modules: 89,502 bytes HCL)
- 2024-2025: Multi-Domain Mastery
- C Programming: kb2040_radio_circuit - 117,443 bytes
- Advanced Python: cloudwatch-alarm-triage - 397,670 bytes
- AI/ML Python: Multiple projects totaling 500K+ bytes
Project Complexity Progression
Early
Single-purpose tools (fogDHCP: 62 commits in 3 weeks)
Mid
Multi-component apps (jane: 372 commits, 30 months)
Advanced
Infrastructure modules (CloudFront: 3+ years maintained)
Expert
Cross-domain integration (AI + Infrastructure + Security)
🌟 Impact & Innovation
Open Source Leadership Metrics
850+
Commits to FOGProject Ecosystem
97
Merged PRs to FOGProject
1,408
Stars on FOGProject Core
300K+
Stars on Contributed Projects
Community Impact Achievements
FOGProject Ecosystem Contributions
10-year sustained engagement serving thousands of IT professionals worldwide:
Enterprise Infrastructure Contributions
- HashiCorp Terraform Provider AWS: Merged PR to repository with 10,574 stars affecting millions of infrastructure engineers
- 4 Terraform core issues identifying state management and resource lifecycle bugs in project with 46,991 stars
- AWS CloudWatch Alarm Triage: Production module with 4 releases and 211 comprehensive tests
Research & Innovation Contributions
AI/ML Optimization Research
yaml_json_tokenization_analyzer achieved exceptional community recognition with 6 stars and 1 fork within weeks of publication:
- Tested 6 AI models (Nova Lite/Micro/Premier/Pro, Claude Sonnet 4, Claude Opus 4.1) across formats
- Discovered YAML uses 6-10% MORE tokens than compact JSON (contrary to common assumptions)
- Published complete reproducible data with 28 prompt/response files
- Claude Sonnet 4 achieved 93.3% accuracy on JSON, outperforming Claude Opus 4.1
AI Security Education
prompt_injection_mitigation created October 18, 2025:
- 623 additions in single comprehensive commit with executable examples
- 25+ documented injection detection patterns including delimiter confusion, role manipulation, social engineering
- Three runnable examples: normal usage, basic attack, detection-based mitigation
- MIT licensed for community education
Cross-Domain Technical Leadership
Radio Frequency Communication
Contributed to RF_Fox with 319 lines added in merged PR #4:
- CLI interface with curses-based UI
- AES encryption implementation
- Comprehensive test suite (155 lines)
- Received code review approval from rga-bbulla
Data Science & Analysis
- sines: Time series decomposition toolset with GPU acceleration (OpenCL), FFT initialization, dual-phase optimization
- wikipedia-importing-tools: 5 stars for Wikipedia data processing with patched wikimedia tools
Recent Activity Surge (2024-2025)
Intensified Development Period
- October 2025: 5 push events (prompt injection, profile updates)
- 2025 Repository Creation: 8 new repositories in 10 months (0.8 repositories/month - highest creation rate in career)
- August 2025 AI/ML Focus: 4 AI-focused repositories in 17 days
- Production Releases: 4 versions of CloudWatch Alarm Triage module
🤝 Collaboration & Community
Collaboration Excellence Metrics
30+
Merged External Pull Requests
62+
Issues Across Major Projects
100+
Total Merged PRs
10
Years Active Contribution
Major Project Contributions
FOGProject Organization Contributions
Wayne demonstrates significant multi-repository contributions across the FOGProject ecosystem:
Collective Impact: 1,500+ stars combined, 850+ commits, 97 merged PRs, 10-year engagement (2015-2025)
HashiCorp Terraform Ecosystem
- terraform-provider-aws: 1 merged PR to 10,574-star project
- terraform core: 4 issues identifying critical bugs in 46,991-star project
- Reported API Gateway logging issues, ECS Fargate task definition problems, DNS record update issues
External Open Source Contributions
Developer Tools & Utilities
Issue Engagement & Problem Solving
Recent High-Impact Issues (2024-2025)
Infrastructure & DevOps Issues
Release Management & Version Control
Professional Release Publishing
terraform-aws-module-cloudwatch-alarm-triage demonstrates production-grade release management:
- v0.2.2 (October 1, 2025) - "Sonnet 4.5 as default, tool parsing improvements" with detailed changelog
- v0.2.1 - Enhanced visibility features, model switch from Nova to Opus 4.1
- v0.2.0 - Removed AWS CLI, switched to Converse API
- v0.1.0 - Initial production release with comprehensive documentation
Collaboration Quality Indicators
Code Review Engagement
- Received reviews: RF_Fox PR #4 approved by rga-bbulla
- Cross-branch discipline: Parallel PRs #513 and #514 to different FOGProject branches
- Structured development: Pull request workflow even on personal projects
Documentation Practices
- Comprehensive release notes: v0.2.2 includes three detailed sections explaining fixes and improvements
- README maintenance: Multiple PRs dedicated to documentation updates
- Test coverage: "All Tests Pass" confirmation in releases
- Architecture decisions: Release notes explain model switches and API changes
Community Engagement Patterns
Technology Interests & Learning
Demonstrates broad technology interests through 45 starred repositories:
- AI & Development: langchain (118,317 stars), continue (29,541 stars)
- Infrastructure: Atlantis Terraform automation (15,493 stars)
- Radio & RF: direwolf APRS/AX.25 packet modem (1,822 stars)