Christopher Nielson

Software Engineer @ BNY

Building AI platforms for risk management in financial services. I design scalable systems that help businesses make smarter, faster decisions—from end-to-end applications to dashboards that surface actionable insights. Graduate student in Data Science & ML at Carnegie Mellon.

Education

Carnegie Mellon University
Graduate Certificate · 2025
Florida State University
BS, Computer Science · 2024

Work

Software Engineer
BNY · 2024 – Present

Download Resume

Skills

PythonTypeScriptJavaReactNext.jsFastAPIPostgreSQLDockerKubernetesMachine LearningNLPAWS

Recent Articles

Projects

AMATS - Algorithmic Trading System
A comprehensive algorithmic trading platform for multi-asset trading (equities, crypto) with dynamic strategy adaptation. Features 25+ specialized AI agents that debate and reach consensus on trading decisions, local LLM sentiment analysis via Ollama, and implemented strategies including Momentum, Mean Reversion, and Grid Trading with full backtesting support.