Andrew Lawlor is an entrepreneur, AI strategist, and technology leader with over 20 years of experience guiding enterprises and non-profits through complex digital transformations. As CEO and Chief Architect of Aptaria, Inc., I help organizations harness the power of Artificial Intelligence, Machine Learning, and Deep Learning to solve today’s most pressing business challenges.
My work blends cutting-edge AI expertise with deep, hands-on knowledge of CRM, Salesforce, and enterprise application integration—a combination that enables me to design intelligent solutions that are both technically advanced and operationally seamless. Over my career, I have led successful implementations for organizations of all sizes, bridging the gap between strategic vision and real-world execution.
From cloud-native architectures to intelligent automation and predictive analytics, I bring a unique perspective: the ability to integrate AI into the heart of enterprise systems so it delivers measurable impact from day one.
Specialties: AI, Machine Learning, Deep Learning, CRM, Salesforce.com, Amazon AWS, Google Cloud, Enterprise Architecture, Application Integration, and Technology Project Leadership.
Education & Certifications
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Stanford University (In Progress – Expected Autumn 2026): Graduate Certificate in Artificial Intelligence.
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Notable Coursework:
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CS221: Artificial Intelligence: Principles and Techniques (Autumn 2025, Grade: A-), covering foundational AI principles including machine learning, probabilistic graphical models, and logic-based systems.
- CS224N: Natural Language Processing with Deep Learning (Winter 2026, Grade: A-), covering foundational NLP principles, neural sequence models, transformers, and large-scale language modeling.
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Columbia University: Graduate work in Electrical Engineering and Computer Science.
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University of Maryland, College Park: Bachelor of Science in Electrical Engineering.
Andrew lives in McLean, Virginia, with his wife, daughter, and son. When not working, he enjoys playing and watching basketball and playing poker.
