Alex Watson
Biography:
Work Experience: 3.9 years
Work Experience:
Founding AI/ML Architect
with 9+ years building production-grade, HIPAA-compliant healthcare AI (virtual
care, oncology, pharma) and enterprise systems (Apple, IQVIA). Delivered 30–40%
gains in patient monitoring/triage accuracy, 70% automation of manual
workflows, 90% fewer deployment errors, and 20–25% cost reductions via
end-to-end ML platforms. M.S. Applied Data Science (Michigan). Proven mentor
and cross-functional leader shipping high-impact AI at scale.
Work history:
Job Title: AI/ML Architect | Founding Engineer
Company: Stealth Startup
Period: January 2024 - present
Role Description:• Architected end-to-end ML pipelines in Python on AWS SageMaker and Bedrock, boosting high-risk event detection accuracy by 15% and efficiency by 25%.
• Engineered computer vision algorithms within React (TypeScript) SPAs using Redux, cutting patient monitoring response time by 20%.
• Deployed five scalable AI models on Kubernetes with Helm charts; incorporated NLP and GenAI capabilities via LangChain and RAG workflows, improving virtual nursing applications by 40%.
• Optimized patient triage models using Scikit-learn and Snowflake, delivering a 35% increase in overall quality of care.
• Mentored 10 junior engineers in MLOps best practices (Docker, GitHub Actions, MLflow), reducing deployment errors by 90%.
Job Title: Principal Software Engineer
Company: SAGA Diagnostics
Period: December 2023 - June 2024
Role Description:• Pioneered PyTorch and Scikit-learn algorithms infused with GenAI, lifting pharmaceutical returns performance by 20% and data accuracy by 15%.
• Refined predictive models for supply-chain quality control, fine-tuning LLMs on AWS Bedrock and deploying through SageMaker pipelines, cutting error rates by 10%.
• Automated predictive modeling via self-running AI systems, eliminating 70% of manual work and boosting operational efficiency by 25% using deep learning with Node.js/Express and RESTful/GraphQL APIs.
• Crafted Angular dashboards powered by Context API and Pinecone RAG systems, driving 30% higher user satisfaction through real-time inventory and returns insights.
• Conceptualized secure, scalable AWS ML infrastructure in Python and Go, utilizing Kafka event
streaming to maintain 95% uptime for sensitive pharmaceutical data.• Spearheaded cross-functional ML troubleshooting and NLP integration with Hugging Face for
returns-document analysis in MongoDB, securing 100% on-time project delivery.Job Title: Senior Software Engineer | Technical Architect
Company: Apple
Period: August 2022 - August 2023
Role Description:• Developed automated testing frameworks in Python and Node.js that accelerated the QA process by 10% and increased productivity by 10% from card to demo stages, incorporating CI/CD with GitHub Actions.
• Realized an access database system with user-friendly forms built in React using TypeScript and Next.js, enabling efficient tracking of aircraft parts inventory, reducing manual effort by 40% through interactive frontend components with Redux.
Job Title: Senior Software Engineer
Company: IQVIA
Period: December 2019 - May 2022
Role Description:• Forged automated testing frameworks in Python and Node.js with GitHub Actions CI/CD, accelerating QA cycles and productivity by 10% from card to demo.
Education:
University of Michigan – School of Information
Doctor of Philosophy (Ph.D.) – PhD in Information
Period: June 2024 - June 2026
University of Michigan – School of Information
Master's Degree – Master of Applied Data Science
Period: June 2016 - November 2019
East Carolina University
Bachelor's Degree – Bachelor of Science
Period: February 2011 - June 2015
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