Machine Learning Engineer at a consultancy with 11-50 employees
Project Description
Collaborated and Managed over 5-6 projects to deliver high throughput applications handling millions of requests per month.
I built an AI-driven anomaly detection engine for our networking and security division that catches zero-day threats in real time under heavy traffic loads. I pushed the team to swap out our sluggish legacy pipeline for a brand-new, bleeding-edge vector stream database, which completely wiped out our processing bottlenecks and sliced infrastructure costs by 40%. It was a massive gamble on unproven tech, but it paid off beautifully and completely overhauled how we handle live security telemetry.
