Dave Mccauley
Founding AI Engineer at Quantitative Scientific Solutions
Alexandria, Virginia, United States
Summary
👤
Senior🎓
Top SchoolDave Mccauley is a founding AI engineer and pragmatic leader with a PhD in physics and eight-plus years of hands-on experience delivering ML and AI solutions across government, enterprise, and startup settings. He has led multi-disciplinary teams and $50M+ client engagements at EY while building agentic AI products and observability tooling that tackle real-world problems from energy efficiency to federal aerial monitoring. His recent focus on novel LLM applications includes automated RFP drafting, carbon-footprint optimization for models and cloud services, and new approaches to AI guardrails and knowledge distillation using graph ML and Bayesian optimization. A former DOE program manager and renewable energy enthusiast, he blends deep domain expertise in climate and technology-policy with practical engineering skills in Python, TensorFlow/PyTorch, Neo4j, and production APIs. Notably, he’s translated advanced research into operational systems—such as a prototype aerial monitoring pipeline for the US Air Force and next‑gen knowledge modeling for innovation analysis—demonstrating a rare mix of research rigor and product impact.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Penn State UniversityB.S., Physics, B.S., Physics at Miami University
Stackoverflow
370reputation
59kreached
5answers
4questions
Github Skills (164)
python10
clustering-evaluation10
deep-learning10
meter10
forecast10
streamlit10
uncertainty10
cluster-analysis10
progress-bar10
ai10
data-visualization10
developer-tools10
data-science10
clustering-algorithm10
hdbscan10
Programming languages (7)
Github contributions (5)
emigre459/hospital-chargemaster
Apr 2019 - Aug 2019
hospital chargemaster lists for open source healthcare
Contributions:57 commits, 43 pushes in 4 months
reacthospitallistschargemasterhealthcare
EVroadtripAI/roadtripAI
Dec 2023 - Sep 2024
Experiments for taking a new approach to EV charging
Contributions:1 review, 5 PRs, 253 pushes in 8 months
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