About Me

I’m a Lead Machine Learning Engineer with 8+ years of experience designing, building, and scaling production-grade ML systems — from real-time fraud detection and marketing personalization to generative AI and large-scale MLOps platforms.

Passionate about bridging the gap between data science and production engineering, I focus on creating intelligent systems that are scalable, cost-efficient, and observable. I’ve led cross-functional initiatives, mentored engineers, and driven measurable business outcomes through cloud-native ML solutions.

Skilled in delivering end-to-end ML solutions: data pipelines, real-time inference, automated retraining, deployment, and monitoring. With deep expertise in both ML and software engineering, I excel at transforming research into reliable, high-impact applications.

Currently seeking opportunities to apply my ML leadership, MLOps expertise, and generative AI knowledge in Staff ML Engineer, ML Engineering Manager, or technical lead roles within innovative teams.