Full Work History

Robert Floyd Dugger

Data Analyst | Automation Engineer | Systems Developer

West Palm Beach, Florida | [email protected] | GitHub | LinkedIn

Professional Summary

Data-driven engineer with expertise in automation systems, real-time software architecture, and shipping production-grade tools at scale. Currently a Junior Data Analyst at Consumr Buzz, building automation infrastructure that powers digital marketing operations. Side projects span trading systems (Solana), game engines (Godot/Python), full-stack web applications, and Chrome extensions used by 5,000+ people.

Key Metrics:

  • Automation Impact: 60% of routine tasks at current role now run on schedule vs. manual workflows
  • User Adoption: 5,000+ combined users across 5 Chrome extensions
  • Extension Ratings: Average 4.82 stars across all published tools
  • GitHub: 26 public repositories, primary languages: Python, Rust, JavaScript
  • Projects: 10+ shipped projects with real users and ongoing maintenance

Professional Experience

Junior Data Analyst

Consumr Buzz | Lake Worth, Florida | Mar 2024 – Present (2 years)

Role Overview: Building the data infrastructure that enables Consumr Buzz to deliver digital marketing solutions. Responsible for automating routine data processing, ensuring lead quality through enrichment pipelines, and implementing business logic across marketing operations.

Key Accomplishments:

  • Lead Enrichment Pipeline: Designed and implemented automated data enrichment system that feeds prospect information into client campaigns. Integrated multiple data sources with fuzzy matching to prevent duplicates and ensure data accuracy.

    • Impact: Eliminated manual spreadsheet work; campaigns now launch with accurate lead data
    • Technical approach: Python ETL, fuzzy matching algorithms, scheduled automation

  • 60% Process Automation: Identified manual workflows consuming 5+ hours/day and automated them with scheduled jobs. Processes now run reliably without intervention.

    • Impact: Freed up team capacity for strategy and client delivery instead of data entry
    • Examples: Prospect import, campaign setup, reporting aggregation

  • Lead Quality Systems: Built validation systems that catch bad data before it reaches campaigns. Monitors data accuracy metrics and flags issues early.

    • Impact: Better ROI for clients; fewer campaign failures due to bad data
    • Metrics: 99.2% accuracy rate on imported leads

  • Business Logic Implementation: Automated ROI calculations, cost-per-lead tracking, and revenue attribution across campaigns.

    • Impact: Managers now have real-time business metrics instead of manual calculations
    • Tools: SQL queries, Python calculations, automated reporting

Technical Stack:

  • Python (3.11+): pandas, SQLAlchemy, async patterns
  • SQL: Database schema design, complex queries, optimization
  • Tools: Spreadsheets, CSV processing, API integrations
  • Methodologies: Agile, continuous improvement

Challenges Solved:

  • Integrating disparate data sources with different formats
  • Handling edge cases (bad phone numbers, duplicate entries, missing fields)
  • Balancing automation with manual verification for sensitive operations
  • Scaling automation without overloading database

IT Support Specialist (Transitioning role)

Consumr Buzz | Lake Worth, Florida | Mar 2024 – Jun 2024 (4 months)

Role Overview: Transitioned through multiple departments (Sales → Scheduling → IT) to find the right fit.

Responsibilities:

  • Telephony server administration for company-wide phone system
  • On-site IT support: hardware troubleshooting, user setup, software issues
  • Network troubleshooting and connectivity issues
  • User support and technical training

Key Learnings:

  • How telephony infrastructure supports business operations
  • Real-world IT challenges (hardware failures, user errors, edge cases)
  • Importance of documentation and clear support processes

Social Media Manager (Freelance)

EM Pressure Washing | Lantana, Florida | Mar 2023 – Aug 2024 (1 yr 6 mo)

Project Overview: Managed social media presence and content creation for local pressure washing company. Responsible for all social media strategy, content creation, and platform management.

Key Accomplishments:

  • Content Strategy: Developed and executed social media strategy across Facebook, Instagram, and local advertising platforms

    • Posted 3-5x per week with consistent visual branding
    • Increased engagement through targeted local advertising
    • Built online reputation presence

  • Visual Content Creation: Created custom photo edits and before/after content

    • Vertical and horizontal split-image formats optimized for different platforms
    • Consistent visual style matching brand identity
    • Photo editing tools: Photoshop, GIMP, online editors

  • AI-Powered Content Generation: Pioneered generative AI for content creation at this company

    • Used prompt engineering to generate social media copy, ad headlines, and captions
    • Combined AI-generated text with curated visuals for rapid content iteration
    • Tested different AI approaches (ChatGPT, Claude, Midjourney) for effectiveness

Impact:

  • Established professional online presence where none existed
  • Generated consistent social media content without expensive agencies
  • Demonstrated how AI can accelerate small business marketing

Technical Skills Developed:

  • Prompt engineering for content generation
  • Photo editing and visual design
  • Social media platform mechanics
  • Marketing copywriting
  • Analytics and platform insights

Technical Projects & Portfolio

1. PhantomArbiter | Solana Real-Time Arbitrage Detection

Status: Production-ready, active maintenance GitHub: ConsumrBuzzy/PhantomArbiter

Project Overview: Real-time system detecting and executing arbitrage opportunities on Solana DEXes (Raydium, Jupiter, Orca, Meteora). Designed to catch price discrepancies at millisecond scale and execute profitable trades.

Technical Architecture:

  • Data Layer: WebSocket connections to multiple DEX price feeds + Solana RPC for state tracking
  • Detection Engine: Multi-strategy detection (price gaps, volume anomalies, pool imbalances)
  • Execution: JITO bundle protection to prevent MEV sandwich attacks
  • Language: Python core with Rust for latency-critical calculations (PyO3 bindings)

Key Achievements:

  • Achieved millisecond-level detection latency (critical for profitability)
  • Multi-DEX bridge allows comparing prices across 4+ platforms simultaneously
  • MEV-aware ordering prevents front-running losses
  • 400+ test trades with detailed loss/profit analysis
  • Handles edge cases: network failures, stale data, transaction failures

Challenges Solved:

  • Network latency: Why RPC choice matters (direct comparison of different providers)
  • MEV understanding: What front-running looks like and how to protect against it
  • Real-world risk management: Handling failed transactions, insufficient liquidity
  • Detecting true arbitrage vs. noise (spreads too small to execute profitably)

Lessons Learned:

  • Real-time systems require different thinking than batch processing
  • Latency matters for trading (milliseconds ≈ money)
  • Blockchain systems have edge cases that don’t exist in traditional software

Stack: Python, Rust (PyO3), FastAPI, WebSocket, Solana SDK, pandas

2. rpgCore | Multi-Genre Game Engine

Status: Production-ready, active development GitHub: ConsumrBuzzy/rpgCore

Project Overview: Flexible game engine supporting multiple genres (RPGs, space simulations, tycoon games) built with Python core + C# frontend (Godot) + NEAT AI integration. Demonstrates cross-language architecture and modular game design.

Technical Architecture:

  • Core Engine: Python-based with async event handling
  • Simulation Layer: Physics, AI, game logic
  • Frontend: Godot (C#) for rendering and UI
  • AI: NEAT (NeuroEvolution of Augmenting Topologies) for adaptive NPC behavior
  • Persistence: SQLite for game state and progression

Design Patterns:

  • Entity-Component-System (ECS): Game objects defined by components, not inheritance
  • Domain-Driven Design: Game logic separate from rendering
  • Plugin architecture: Easy to add new game types without modifying core

Key Achievements:

  • 100% test coverage (31/31 tests passing)
  • 1,400+ lines of core logic with comprehensive documentation
  • Supports 3+ game genres from single codebase
  • Clean separation: core logic can be tested without Godot running
  • NEAT AI learns adaptive behavior in-game

Challenges Solved:

  • Cross-language communication: Python/C# integration through defined interfaces
  • Testability: How to unit test without renderer (use mock objects)
  • Flexibility: Supporting multiple game types with shared core
  • Performance: Python core fast enough for real-time simulation

Lessons Learned:

  • ECS is more maintainable than inheritance hierarchies
  • Separating logic from rendering enables faster iteration
  • Documentation architecture decisions pays off immediately
  • Constraints (no external dependencies) forced elegant design

Stack: Python, C# (Godot), SQLite, NEAT, pytest

3. TurboShells | Full-Stack Real-Time Web Application

Status: Production-ready, deployed GitHub: ConsumrBuzzy/TurboShells Live Demo: turboshells.vercel.app

Project Overview: Real-time turtle racing simulation where turtles inherit genetic traits through breeding. Demonstrates full-stack architecture with frontend/backend separation, real-time data sync, and genetic algorithm mechanics.

Technical Architecture:

  • Frontend: React 18 + TypeScript with Vite build tooling
  • Rendering: PixiJS for efficient 2D graphics
  • Backend: FastAPI with SQLModel ORM
  • Communication: WebSocket for real-time race updates
  • Database: SQLite with schema for races, turtles, traits
  • Deployment: Vercel (frontend) + Railway (backend)

Design Pattern: Hexagonal Architecture

  • Domain layer: Core game rules (genetics, physics)
  • Adapter layer: React (web UI), FastAPI (API), SQLModel (database)
  • Ports: Abstract interfaces that adapters implement
  • Benefit: Can swap React for Vue, FastAPI for Django without touching game logic

Key Achievements:

  • Real-time physics (30Hz server) synced to 60Hz rendering
  • Genetic algorithm implements Mendelian inheritance (dominant/recessive traits)
  • SQLite database handles 1000+ race records without slowdown
  • Responsive design works on mobile
  • Zero-cost deployment (free tiers: Vercel + Railway)

Technical Challenges:

  • WebSocket sync without race conditions
  • Bridging server physics (30Hz) to client rendering (60Hz)
  • Genetic algorithm correctness (testing inheritance rules)
  • Mobile responsiveness with real-time graphics

Lessons Learned:

  • Architecture quality pays off: first 10% took 60% of time, remaining 90% took 40%
  • WebSocket real-time systems are hard (require idempotent updates)
  • Full-stack ownership enables end-to-end optimization
  • Hexagonal architecture proves itself with testability

Stack: React 18, TypeScript, Vite, FastAPI, SQLModel, PixiJS, WebSocket

4. Game Development Projects

GreenGap | Educational ecology game GitHub: ConsumrBuzzy/GreenGap

  • Teaching ecological succession through game mechanics
  • Designed to make learning organic (not forcing lessons)
  • Stack: FastAPI, Vanilla JS, SQLite, HTML5 Canvas

RogueAsteroid | Physics-based arcade game GitHub: ConsumrBuzzy/RogueAsteroid

  • 221+ commits showing evolution of project
  • Entity-Component architecture for extensibility
  • Moddable design with documented systems
  • Stack: Python, Pygame 2.5

5. Chrome Extensions | Production Tools with 5,000+ Users

Telesero Auto-Pauser 500+ users | 4.6★ rating

Auto-pause management for Telesero VoIP platform. Detects when agents finish calls and automatically pauses their status. Saves agents 30-60 minutes/day of manual pause/unpause actions.

Chrome Auto-Refresh 1,000+ users | 4.7★ rating

Intelligent page auto-refresh for monitoring dashboards. With smart pause detection—stops refreshing when you’re actively using the page. Used by traders, analysts, DevOps engineers.

Convoso Insight Lens 600+ users | 4.8★ rating

Real-time team performance analytics for Convoso call center platform. Brings real-time insights that normally require buried reports. Managers see performance trends 2+ hours before reports generate.

Convoso Auto-Create Lead 2,000+ users | 4.9★ rating (highest rated)

One-click lead creation from any webpage. Reduces lead creation from 45 seconds to 5 seconds by auto-parsing phone numbers, emails, names from page content. Saves call centers 200+ hours per month.

Convoso Team Optimizer 900+ users | 4.9★ rating

Team performance optimization dashboard. Predicts performance changes, recommends agent-to-campaign pairings, identifies coaching opportunities. Uses predictive modeling + anomaly detection.

Extension Development Stack: JavaScript, Chrome APIs, Content Scripts, Background Workers, React, IndexedDB, Convoso API

Skills & Expertise

Programming Languages

  • Python (3.11+): async patterns, type hints, pandas, SQLAlchemy, FastAPI
  • JavaScript/TypeScript: React, Vite, Node.js, Chrome APIs
  • Rust: Performance-critical code, PyO3 bindings for Python integration
  • C#: Godot game engine, .NET fundamentals
  • SQL: Schema design, complex queries, optimization

Platforms & Infrastructure

  • Blockchain: Solana, DEX integrations, RPC providers
  • Cloud: Vercel (frontend), Railway (backend), Render
  • Containerization: Docker, container architecture
  • Databases: SQLite, PostgreSQL, schema design
  • Linux: System administration, command-line tools

Architecture & Patterns

  • Hexagonal Architecture (ports & adapters)
  • Entity-Component-System (game development)
  • Real-time Systems (WebSocket, async patterns)
  • Microservices (FastAPI, containerization)
  • Testing Patterns (unit, integration, end-to-end)

Tools & Methodologies

  • Version Control: Git, GitHub
  • Testing: pytest, unit testing, test-driven development
  • Documentation: Architecture documentation, README documentation
  • Agile: Continuous improvement, sprint-based work
  • Analytics: Data analysis, metrics tracking, performance monitoring

Domain Expertise

  • Game Development: Mechanics design, game engines, procedural generation
  • Trading Systems: Solana ecosystem, DEX integrations, arbitrage
  • Automation: Data pipelines, ETL, workflow automation
  • Data: Lead enrichment, fuzzy matching, data validation
  • Chrome Extensions: Content scripts, background workers, API integration

Certifications & Education

Professional Certifications

Google Certified IT Support Specialist | Issued Jan 2024

  • Operating systems (Windows, Linux, macOS)
  • Computer networking and troubleshooting
  • Systems administration basics
  • Customer support and IT service delivery
  • Grade: A

Google Data Analytics Certification

  • Data analysis and interpretation
  • SQL and database queries
  • Data visualization (Tableau, spreadsheets)
  • Statistical analysis fundamentals

Google AI Essentials | Issued Sep 2024

  • Generative AI concepts and applications
  • Prompt engineering and optimization
  • Responsible AI and ethical considerations

Google Design Prompts for Everyday Work Tasks | Issued Jan 2026

  • Advanced prompt engineering techniques
  • Using AI for productivity and creativity

In Progress:

  • Google IT Automation With Python Certification – Automating IT tasks and systems with Python scripting

Formal Education

General Education Diploma | Chattahoochee Technical College | 2012

  • Completed accelerated GED program (age 17)
  • Grade: A+ across all sections
  • Rapid completion due to testing ahead of schedule

Professional Development & Learning

Ongoing Learning Focus:

  • Advanced Python: Async patterns, performance optimization, distributed systems
  • Systems Thinking: Complex system design, constraint appreciation, lateral problem-solving
  • Game Design: Mechanics, balance, player psychology
  • Blockchain: Deeper Solana understanding, smart contract basics
  • AI/Automation: Generative AI applications, prompt engineering, automation at scale

Learning Philosophy: Learning by building. Prefer shipping projects with real users to reading theory alone. Every project teaches something new about systems, user behavior, or technical challenges.

Philosophy & Approach

How I Think About Systems

  • Systems are interconnected: Change one thing, three others shift
  • Constraints create clarity: Limits force focus and innovation
  • Edge cases are real: Where real people live and work
  • Maintainability matters: Code must survive 6+ months without me

What I Optimize For

  • Does it actually work? Tested in real scenarios, not just theory
  • Will it survive? Can this system handle maintenance and change?
  • Am I proud of it? Would I recommend this code in a job interview?

Shipping & Quality

  • Prefer one solid system to five mediocre ones
  • “Shipping is a feature”—iteration with real users beats perfect initial design
  • Document architecture decisions; future-you will appreciate it

Open Opportunities

Freelance Work:

  • Trading systems and financial software
  • Game engines and game prototypes
  • Data pipelines and automation
  • Backend architecture and systems design

Full-Time or Contract:

  • Senior engineer roles where architecture matters
  • Teams shipping real products with actual users
  • Problems requiring systems thinking and lateral approaches
  • Companies willing to invest in technical depth

Collaboration & Consulting:

  • Technical architecture reviews
  • System design consultation
  • Mentoring on shipping and maintenance
  • Building tools that solve real problems

How to Reach Me

Email: [email protected] GitHub: @ConsumrBuzzy LinkedIn: Robert Dugger Contact Page: rfditservices.com/contact

Last Updated: February 2026