# Paul Prae **Principal AI Engineer & Architect** | Buford, Georgia, United States | hireme@paulprae.com | [LinkedIn](https://www.linkedin.com/in/paulprae) | [GitHub](https://github.com/praeducer) | [paulprae.com](https://paulprae.com) --- ## Professional Summary AI engineering leader with 13+ years building production AI systems for healthcare, life sciences, and consulting. Architects enterprise solutions spanning data platforms, ML infrastructure, and cloud systems across HIPAA, FedRAMP, and GDPR-compliant environments, with deep expertise in clinical decision support, medication optimization, and neuroinformatics. Led cross-functional teams and served Fortune 500 clients at Amazon Web Services, Microsoft, Booz Allen Hamilton ($9B+ revenue), and Slalom Consulting. Currently leading healthcare AI solution design at Autonomize AI, with hands-on experience building AI agents, data platforms, and generative AI applications on AWS and Snowflake. --- ## Professional Experience ### Solutions Architect **Autonomize AI** | Remote | Apr 2026 – Present - Lead solution design and deployment for healthcare and life sciences customers adopting Autonomize AI's enterprise AI platform - Own technical discovery, architecture design, and integration strategy across the full customer lifecycle - Develop HIPAA-compliant solution blueprints for clinical review, risk adjustment, claims processing, and knowledge automation use cases ### Staff Data Operations Engineer **Arine** | Remote | Sep 2025 – Mar 2026 - Managed enterprise data platform on Snowflake and AWS, processing petabytes of healthcare data from hundreds of sources supporting Arine's medication-optimization platform (45+ health plans, >30M client members) - Developed HIPAA-compliant AI coding assistants — a Data Engineering Agent that autonomously generated, deployed, and tested ETL pipelines, and a Dev Environment Agent that eliminated multi-day developer onboarding delays - Built an observability pipeline monitoring Arine's autonomous pharmacist AI agent, ingesting production behavior data from DynamoDB into Snowflake and visualizing metrics 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, Georgia | 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 across FedRAMP and HIPAA-compliant environments - Contributed to AI governance policy development for FDA's Center for Devices and Radiological Health (CDRH) and supported federal healthcare AI initiatives ### Chief AI Officer, Founder **Hyperbloom** | United States | Jun 2021 – Aug 2025 - Grew AI consulting business to $1.4M ARR from a $40K investment, delivering cloud-based AI and data solutions across healthcare, life science, and consulting - Led teams of sales coordinators, account managers, and solutions architects through the full sales cycle for enterprise AI products and services - Architected disaster recovery solutions for a clinical-trial management platform supporting 10,000+ research sites across 45 countries ### Neuroinformatics Data Platform Architect **TReNDS Center** | Atlanta, Georgia | Jan 2022 – Sep 2023 - Architected COINSTAC, an open-source platform enabling decentralized neuroimaging and genomics research with differential privacy, contributing to a peer-reviewed publication in Frontiers in Neuroinformatics - Built GPU-focused compute infrastructure for deep learning workloads and managed AWS cloud architecture including container orchestration and service decoupling - Drove commercialization through SBIR grant writing, open-source contributor recruitment, and strategic industry partnerships ### Enterprise AI and ML Solutions Architect **Amazon Web Services** | Atlanta, Georgia | Aug 2018 – May 2021 - Managed a portfolio of 10+ enterprise accounts including Cox Enterprises, Equifax, NCR, Accenture, and Deloitte, providing AI/ML architecture guidance and driving AWS platform adoption - Engaged nationally as a subject matter expert in AI and machine learning, authoring technical white papers, reference architectures, and delivering proof-of-concept solutions - Partnered with C-suite executives to define technical and business strategies including go-to-market planning, cost optimization, and technical recruiting ### Senior AI Engineer **NeuroLex Labs** | Atlanta, Georgia | Feb 2018 – Jul 2018 - Architected automated ML pipelines for healthcare voice computing — collecting, cleaning, training, and deploying models processing text and audio data for neurodegenerative disease prediction - Mentored fellows in the Tribe program for neurodegenerative disease research and drove test-driven development practices across the engineering team ### Advanced Analytics Consultant **Slalom Consulting** | Atlanta, Georgia | Jul 2015 – Jan 2018 - Delivered 7+ client engagements generating $2M+ in consulting revenue, including a statewide behavioral health demand forecasting system across dozens of facilities in Georgia - Designed intelligent software applications on Microsoft Azure and AWS; recognized nationally as a subject matter expert in NLP and machine learning ### Software Engineer **Red Ventures** | Fort Mill, South Carolina | Mar 2014 – Jul 2015 - Engineered full-stack web applications 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, North Carolina | Jul 2012 – Mar 2014 - Delivered advanced technical support to Fortune 100 clients including Chevron, Walmart, Intel, and Bank of America; nominated for Global Business Support's "Entrepreneur of the Year" (2013) --- ## 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 | HOPE Scholarship --- ## Technical Skills **AI & Machine Learning:** Generative AI, Large Language Models (LLMs), Multi-agent Systems, Natural Language Processing, Machine Learning, MLOps, Deep Learning, Prompt Engineering, Predictive Analytics **Cloud & Infrastructure:** AWS (SageMaker, Bedrock, ECS/EKS, Lambda, S3, Glue, QuickSight, DynamoDB), Microsoft Azure, Snowflake, Docker, NVIDIA GPU Computing (CUDA) **Data Engineering:** ETL/CDC Pipelines, Data Governance, HIPAA/GDPR/FedRAMP Compliance, PostgreSQL, Apache Kafka, Data Warehousing **Programming Languages:** Python, SQL, JavaScript, C#, Bash, PowerShell **AI Tools & Platforms:** Anthropic Claude (Code, API, Console), Ollama, Open WebUI, Cursor AI, GitHub Copilot **Leadership:** Engineering Team Management, Solutions Architecture, Enterprise Consulting, Executive Coaching, 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) Not-for-profit organization building free, open-source AI agents to help working-class entrepreneurs generate wealth. Active projects include a career assistant and a financial advisor built on local-first, privacy-preserving architectures using Ollama, open-weight LLMs, and NVIDIA GPU hardware (RTX 4090/5090). Vision: deploy AI-as-a-public-service in local 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 research on federated analysis enabling multi-site neuroimaging studies without sharing raw data, using differential privacy and decentralized computation.