Summary
Brian Balagot is a Machine Learning Engineer with 9 years of experience blending applied mathematics, data science, and product-focused engineering across IBM, a smart-camera startup, and Amazon. He has led teams and shipped production-ready solutions in unsupervised learning, enterprise NLP, information retrieval, recommendation systems, and robust time-series algorithms for event detection in automotive sensor data. Holding an MBA, he combines quantitative rigor with business-minded prioritization to turn noisy sensor streams and enterprise data into actionable models. Based in Austin, he pairs hands-on model development with leadership experience and a collaborative ethos, framed by a personal mission to make the world better through mathematics and ML.
10 years of coding experience