Mark Conway
Director Of Artificial Intelligence at Scottfree Analytics LLC
Toledo, Ohio Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolMark Conway is a Director of Artificial Intelligence with 11 years of experience building and deploying production-grade generative AI and ML systems that have driven millions in revenue or savings for clients like Walmart, Fidelity, Grindr, and Ahold Delhaize. He is a full-stack AI scientist who not only designs models—spanning recommender systems, LTR, forecasting, and RAG pipelines—but also ships scalable, observable microservices on Kubernetes and cloud platforms (AWS, GCP, Azure). Mark led end-to-end engineering work from Bedrock-based semantic search and vector databases to LangChain/LangGraph agentic systems, and he pairs rigorous MLOps (Argo, Helm, GitHub Actions) with custom evaluators and observability tooling. A long-time Kaggle competitor (top 0.09% peak rank) and active open-source contributor, he co-developed AlphaPy, an AutoML pipeline focused on trading and sports analytics and improved its visualization and model-evaluation capabilities. He also champions diversity through Scottfree Analytics LLC, a 100% Black-owned firm, and mentors emerging data scientists to expand access to AI opportunities.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Rensselaer Polytechnic Institute
Stackoverflow
116reputation
5kreached
4answers
1question
Github Skills (19)
data-visualizations10
seaborn10
evaluation10
matplotlib10
scikit10
machine-learning10
data-visualisation10
eval10
scikit-learn10
data-visualization10
feature-engineering8
mapreduce6
svm6
python6
grid-search6
Programming languages (2)
Github contributions (5)
ScottfreeLLC/AlphaPy
Feb 2016 - Apr 2022
Python AutoML for Trading Systems and Sports Betting
Role in this project:
Data Scientist
Data ScientistContributions:13 releases, 414 commits, 9 PRs in 6 years 3 months
Contributions summary:Mark's commits focused on improving the plotting capabilities within the AlphaPy library. The changes involved adding and improving visualizations such as ROC curves, confusion matrices, learning curves, and feature importance plots. The user also contributed code for generating various EDA plots like scatter plot matrices, distribution plots, and box plots. The overall focus was to enhance model evaluation through better visual representations.
xgboostpythontime-series-analysissklearnpredictive-analytics
ScottfreeLLC/Speculator
Sep 2023 - May 2024
Contributions:5 pushes, 1 branch in 8 months
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