Mark Conway
Director Of Artificial Intelligence at Scottfree Analytics LLC
Toledo, Ohio Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolMark Conway is Director Of Artificial Intelligence and a Full-Stack AI Scientist with 10 years of experience deploying scalable generative and ML systems that have delivered millions in revenue or savings for clients including Walmart, Fidelity, Grindr, Deloitte and Ahold Delhaize. He designs and ships production-grade RAG and agentic pipelines (Amazon Bedrock, LangChain/LangGraph on GCP), semantic search, and microservices at scale—often using Kubernetes, EKS, Helm, Argo and Kotlin-backed services. His work spans personalization, learning-to-rank, demand forecasting, synthetic data and record linkage, and he persuaded executives to productize synthetic-data offerings that unlocked a $75M pipeline. An active open-source contributor and AlphaPy co-maintainer, he enhanced the library’s model-evaluation visualizations and competed on Kaggle for nine years, reaching a top-200 rank (#183). As owner of Scottfree Analytics, a 100% Black-owned firm based near Toledo, he pairs technical delivery with mentorship and diversity-focused partnerships to expand opportunities for underrepresented talent.
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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