Matthew Green
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Architect | Production Analytics, AI Systems & Decision Platforms
I design and deploy AI and data systems that actually get used and trusted. With 12+ years building production analytics platforms and applied AI solutions, my work sits at the intersection of data engineering, analytics, and AI. I focus on environments where data is messy, systems are fragmented, and the path forward isn't obvious. That's where good system design, data quality, and adoption matter most. I've led analytics modernization efforts and platform migrations at Reddit, AutoZone, and Tumblr — scaling platforms, defining enterprise metrics, and helping organizations build the data foundations that better decisions actually run on. Recently I've moved deeper into applied AI: RAG systems, LLM-enabled analytics, decision support, and workflow automation. My focus is deploying systems that create real business outcomes, not AI for its own sake. I enjoy partnering with engineers, analysts, product leaders, and executives to turn complex questions into scalable, trustworthy systems. If you're building something like that, let's talk. Areas of focus: Applied AI & LLM Systems · Data & AI Architecture · Analytics Engineering · Decision Support · Metrics & Semantic Layer · GCP / BigQuery · Looker & dbt
Udacity
Nanodegree, Machine Learning
January 1, 2016 – January 1, 2017
Coursera
Data Science Specialization
January 1, 2015 – January 1, 2016
The Citadel
Bachelor of Science (B.S.), Electrical and Electronics Engineering
January 1, 2011 – January 1, 2013
College of Business
Bachelor of Science (B.S.), Business Administration
January 1, 2003 – January 1, 2006
Contract
Applied AI & Data Architect
June 1, 2025 – Present
Remote
66degrees
Business Intelligence Architect
January 1, 2021 – June 1, 2025
Remote
Automattic
Analytics Engineer
January 1, 2018 – January 1, 2021
Independent
Machine Learning Engineer
January 1, 2015 – January 1, 2018
Charleston, SC & Remote
BAE Systems
Quality Engineer
January 1, 2013 – January 1, 2015
Charleston, SC
Dixon Hughes Goodman LLP
Data Analyst
January 1, 2012 – January 1, 2013
Charleston, SC
R.K. Pinson & Associates
Petroleum Landman
January 1, 2007 – January 1, 2009
Remote
Classify Images using a Neural Network
April 1, 2017 – June 1, 2017
• Preprocessed and normalized images from the CIFAR-10 dataset. • Trained a model with a convolutional neural network consisting of convolutional, pooling, fully connected, and output layers. • Obtained classification accuracy around 70%
Train a Smartcab to Drive
January 1, 2017 – March 1, 2017
• Applied reinforcement learning to build a simulated vehicle navigation agent • Designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties • Model had near 100% destination accuracy with 0 accidents when tested in multiple simulations
Smart Home Controller and Monitor
September 1, 2012 – May 1, 2013
• Designed product to help end consumer become more aware of power usage by employing a circuit capable of controlling and monitoring power to an outlet • Led writing and presentation of technical paper, keeping in line with IEEE standards • Collected results that were within 1% of the true measured value
Google Certifications
Google Cloud Skills Boost
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from reinforcement learning to computer vision and smart home systems, indicates a broad interest and adaptability. Their career progression from quality engineering and data analysis to specialized ML and AI architecture roles shows a continuous learning mindset. The experience with various companies, including startups and large enterprises, suggests an ability to adapt to different organizational cultures. The focus on designing and deploying AI solutions for real-world business problems aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's experience in leading client engagements, driving adoption, and bridging business and technical teams suggests strong communication, collaboration, and leadership skills. Their work on strategic roadmapping and platform modernization indicates a proactive and strategic mindset, suitable for senior roles. The ability to work remotely and manage projects independently also points to strong self-management and accountability.