Devin Gallemore
Quantitative AI · Agentic systems · Applied machine learning · Financial systems
Charlotte, NC · devin.gallemore@gmail.com · github.com/Ballzatram
Quantitative technology professional building AI-enabled financial systems at the intersection of agentic orchestration, applied machine learning, model validation, and enterprise risk. Experience spans fraud investigation workflows, anomaly detection, interest-rate research, and balance-sheet forecasting.
Experience
Wells Fargo
Jul 2024 – PresentSr AVP — Quantitative Model Solutions Specialist
- Develop Python-based orchestration for agentic fraud investigation workflows, including structured context, persistent state, conditional routing, specialized analysis, output aggregation, and human review.
- Build anomaly-detection frameworks for high-dimensional commercial lending data using feature engineering, clustering, dimensionality reduction, and unsupervised learning.
- Automate interest-rate analytics and prototype regime-aware anomaly research using economic data and statistical methods.
- Design regression testing and monitoring for enterprise liquidity forecasting, cash-flow variances, and upstream data quality.
Bank of America
May 2024 – Jul 2024AVP — Quantitative Finance Analyst
- Supported production balance-sheet forecasting for liquidity, capital, and stress testing in Unix/Linux environments.
- Investigated data inputs, configuration logic, and system dependencies; automated validation steps.
Bank of America
Oct 2022 – May 2024AVP — Senior Asset Liability Analyst
- Owned enterprise stress testing and balance-sheet forecasting for held-to-maturity and bank-owned life insurance portfolios.
- Delivered scenario analysis to senior stakeholders and built Python/Unix automation for production forecasting workflows.
Independent engineering
Ballzatram Laboratory
Build AI-assisted prototypes spanning quantitative research, decision-support workflows, and economic simulations, including Quant Library, Parcel Intelligence, and Econ Arcade. Work across Python/FastAPI and Next.js/TypeScript while directing product requirements, architecture, testing, and iteration.
Project collection: dgallemore.com/devin/
Technical skills
AI & ML: Agentic orchestration, multi-agent workflows, state management, structured outputs, anomaly detection, Isolation Forest, HBOS, Local Outlier Factor, feature engineering.
Engineering & data: Python, SQL, Git/GitHub, Unix/Linux, AWS S3, Dremio, Power BI, FastAPI, Next.js/TypeScript.
Quantitative finance: Liquidity risk, IRRBB, balance-sheet forecasting, stress testing, regression testing, time series, econometrics, scenario analysis.
Education & leadership
MS, Applied EconomicsUniversity of Maryland · 2022
BS, Economics · Business MinorTexas Christian University · 2019
Treasurer — Illuminating Engineering Society, Charlotte
Polo Manager — Camden Polo Club