Thomson Kneeland
Lead AI ML Engineer at Wells Fargo
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolThomson Kneeland is a Lead AI/ML Engineer based in New York with a decade of experience building production-grade automation and LLM-driven, agentic systems for financial services. He has driven high-impact platform modernization at Schonfeld—scaling reporting throughput 12x and building custom load-balancing to move to near real-time delivery—and now architects AI solutions for CIB and WIM operations at Wells Fargo. His background spans greenfield payments and settlement systems at Deutsche Bank, ML-powered anomaly detection for regulatory reporting, and quantitative pricing engines for complex derivatives, giving him rare fluency across data, finance, and ML. Trained in computer science and statistics and with a parallel career as a professional jazz entrepreneur, he brings disciplined engineering, creativity, and a knack for operationalizing sophisticated models under tight SLAs.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science/Statistics, Bachelor of Science - BS Computer Science/Statistics at Montclair State UniversityData Science Specialization - Johns Hopkins University, Data Science Specialization - Johns Hopkins University at CourseraElectrical Engineering, Electrical Engineering at Worcester Polytechnic InstituteMusic, Music at New England Conservatory of MusicWorcester Academy
Stackoverflow
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Github Skills (1)
java4
Programming languages (2)
Github contributions (5)
TKTrader/SOG2
Mar 2019 - Apr 2019
Contributions:69 PRs, 97 pushes, 3 branches in 1 month
TKTrader/SOGs
Dec 2018 - Mar 2019
Software Engineering II Group Project
Contributions:19 commits, 15 PRs, 25 pushes in 3 months
javaengineering
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