# Paul Prae **Principal AI Engineer & Architect** | Buford, GA | hireme@paulprae.com | [LinkedIn](https://www.linkedin.com/in/paulprae) | [GitHub](https://github.com/praeducer) | [paulprae.com](https://www.paulprae.com) --- ## Professional Summary AI and data engineering leader with 13+ years building production systems across healthcare, life sciences, and financial services. Currently architecting cloud-native data infrastructure and HIPAA-compliant AI agents at Arine, a healthcare platform serving 45+ health plans and over 30 million members. Enterprise delivery experience includes AI/ML solutions architecture at Amazon Web Services, healthcare AI leadership at Booz Allen Hamilton ($9B+ revenue), and analytics consulting at Slalom generating $2M+ in engagement revenue. Brings deep expertise in data engineering, cloud architecture, ML systems, and AI governance to help organizations ship AI products in regulated environments. --- ## Professional Experience ### Staff AI DataOps Engineer **Arine** | Remote | Sep 2025 – Present - Managed enterprise data platform on Snowflake and AWS, processing petabytes of healthcare data from hundreds of sources supporting Arine's AI-driven medication-optimization platform (45+ health plans, >30M members, >40M recommendations annually) - Designed the AI DataOps Toolkit — an agentic development framework encompassing AI governance standards, reference architectures, and change management procedures for the data services organization - Developed HIPAA-compliant coding assistants that transformed data operations into an AI-augmented practice, including a Data Engineering Agent that autonomously generated, deployed, and tested ETL pipelines - Built observability pipeline to monitor Arine's autonomous pharmacist AI agent — ingesting production behavior data from DynamoDB into Snowflake, transforming with dbt, and visualizing in QuickSight dashboards - Led AI enablement workshops training groups of up to 100 engineers on AI-first software development practices ### Chief AI Architect, Senior Manager **Booz Allen Hamilton** | Atlanta, GA | Jul 2024 – Mar 2025 - Led AI and analytics solution development at a Fortune 500 consulting firm (27,000+ employees, $9B+ revenue), designing products harnessing clinical, behavioral, and genomic data for population health and predictive medicine - Collaborated with cross-functional teams of engineers, data scientists, and domain experts to deliver AI solutions addressing algorithmic bias and data privacy risks in FedRAMP and HIPAA-compliant environments - Advised healthcare and life science clients on AI adoption strategy, translating regulatory requirements and clinical needs into deployable solutions ### Neuroinformatics Data Platform Architect **TReNDS Center** | Atlanta, GA | Jan 2022 – Sep 2023 - Architected COINSTAC, an open-source platform for decentralized neuroimaging and genomics research with differential privacy for PHI protection, published in Frontiers in Neuroinformatics - Built GPU-focused compute infrastructure for deep learning workloads and managed AWS cloud architecture, decoupling system components to leverage managed services - Drove commercialization through SBIR grant writing, open-source contributor recruitment, and industry partnerships ### Chief AI Officer, Founder **Hyperbloom** | United States | Jan 2020 – Sep 2025 - Grew AI consulting business to $1.4M ARR from a $40K initial investment, delivering cloud-based AI and data solutions across healthcare, life science, and financial services - Led teams of sales coordinators, account managers, and solutions architects through full sales cycles while building partnerships with research organizations and technology vendors - Architected disaster recovery solutions for clinical trial software supporting 10,000+ research sites in 45 countries with 5.5 million remote monitoring activities monthly ### Enterprise AI and ML Solutions Architect **Amazon Web Services** | Atlanta, GA | Aug 2018 – May 2021 - Managed portfolio of 10+ enterprise accounts including Cox Enterprises, Cox Automotive, Equifax, NCR, Accenture, and Deloitte, delivering prescriptive AI/ML architecture guidance - Delivered technical white papers, reference architectures, and presentations at public and private AWS events as a nationally recognized AI/ML subject matter expert - Built deep executive relationships to define technical and business strategies including go-to-market plans, cost optimization, and technical recruiting ### Senior AI Engineer **NeuroLex Labs** | Atlanta, GA | Jan 2018 – May 2020 - Architected automated ML pipelines for healthcare voice computing — collecting, cleaning, training, and deploying models processing text and audio data for neurodegenerative disease prediction - Drove TDD implementation across the engineering team and mentored fellows in the Tribe program, a global fellowship for neurodegenerative disease research using voice biomarkers ### Advanced Analytics Consultant **Slalom Consulting** | Atlanta, GA | Jul 2015 – Jan 2018 - Delivered 7+ client engagements generating $2M+ in revenue, including a statewide behavioral health demand forecasting system across dozens of facilities in Georgia - Grew the AI consulting practice through workshops, marketing, and sales support; recognized nationally as a subject matter expert in NLP and machine learning ### Software Engineer **Red Ventures** | Fort Mill, SC | Mar 2014 – Jul 2015 - Engineered full-stack marketing platform serving 16+ Fortune 500 clients including DirecTV, Verizon, AT&T, and Liberty Mutual, maintaining hundreds of high-traffic consumer-facing websites ### Senior Support Engineer **Microsoft** | Charlotte, NC | Jul 2012 – Mar 2014 - Delivered advanced technical support for Fortune 100 clients including Chevron, Shell, Walmart, Disney, and Bank of America across hundreds of high-impact web applications and server farms - Earned nomination for Global Business Support's "Entrepreneur of the Year" (2013); graduated from the Microsoft Academy for College Hires (MACH Program) --- ## Education ### Bachelor of Science in Computer Science (AI Emphasis) & Bachelor of Arts in Cognitive Science (AI Foundation) **University of Georgia** | 2008 – 2012 Graduated Cum Laude | Dean's List --- ## Technical Skills **AI & Machine Learning:** Generative AI, Large Language Models (LLMs), Multi-Agent Systems, Natural Language Processing, Machine Learning, MLOps, Deep Learning, Predictive Analytics, Prompt Engineering, Conversational AI **Cloud & Infrastructure:** AWS (Bedrock, SageMaker, ECS/EKS, Lambda, Step Functions, S3, Glue, QuickSight, DynamoDB), Microsoft Azure, Docker, Distributed Systems **Data Engineering:** Snowflake, PostgreSQL, dbt, Apache Kafka, ETL/CDC Pipelines, Data Governance, Data Privacy, HIPAA Compliance **Programming Languages:** Python, SQL, JavaScript, C#, Bash, PowerShell **AI Tools & Frameworks:** Cursor AI, Claude Code, GitHub Copilot, LangChain, Ollama, n8n, Neo4j, Open WebUI **Leadership & Strategy:** Engineering Team Management, AI Governance, Solutions Architecture, Executive Coaching, Pre-Sales Engineering, Agile/Scrum --- ## Certifications - **AWS Certified Machine Learning Engineer** — Amazon Web Services (Sep 2025) - **AWS Certified AI Practitioner** — Amazon Web Services (Sep 2025) - **AWS Certified Machine Learning - Specialty** — Amazon Web Services (Jan 2020) - **AWS Certified Solutions Architect** — Amazon Web Services (Jul 2018) --- ## Projects ### [Modular Earth](https://github.com/Modular-Earth-LLC) Founded a not-for-profit organization building free, open-source AI agents to help working-class entrepreneurs generate wealth. Active projects include a career assistant and financial planning assistant built on local-first, privacy-preserving architectures using Ollama, LangChain, n8n, and Neo4j. Vision: deploy AI-as-a-public-service in libraries across the United States. --- ## Publications ### [Enhancing Collaborative Neuroimaging Research: Introducing COINSTAC Vaults for Federated Analysis and Reproducibility](https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2023.1207721/full) Frontiers in Neuroinformatics (Jun 2023). Co-authored peer-reviewed paper on federated analysis capabilities enabling collaborative neuroimaging research without sharing raw PHI data. Demonstrated reproducibility improvements and increased sample sizes through decentralized computation with differential privacy.