Summary
Vincent Horvath is an AI/ML-focused software engineer with eight years of experience building production-ready systems and research-grade models. He has delivered internal AI chatbot tooling at T. Rowe Price to boost productivity for 8,000+ users and now engineers at Suno, blending data-science collaboration with pragmatic software delivery. His background spans research—developing GNNs to predict galaxy properties and distance-based losses for 3D reconstruction—to enterprise systems, where he implemented GDPR-compliant AIOps notifications and high-test-coverage microservices. Comfortable across the stack (React, Java, PyTorch Geometric), Vincent also mentors students and led campus developer clubs, demonstrating a knack for translating complex ML ideas into teachable, productionized features. Notably, his research work provided simulation-speed alternatives that saved massive CPU time, highlighting a consistent focus on efficient, impactful automation.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Georgia Institute of Technology