About Me

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

I’m passionate about bridging the gap between Data Science and production engineering — designing systems that are intelligent but also scalable, cost-efficient, and observable. I’ve mentored engineers, led integrating cloud-native ML platforms, and partnered cross-functionally to drive measurable business outcomes.

Experienced in building end-to-end machine learning solutions, including data pipelines, model training, containerization, deployment, and monitoring in production. With a strong foundation in both machine learning and software engineering, I excel at developing robust, scalable systems that bridge the gap between research and real-world applications.

Currently exploring new opportunities where I can apply my experience in ML leadership, MLOps innovation, and cutting-edge generative AI knowledge. Open to roles as Staff ML Engineer, ML Engineering Manager, or technical lead in forward-thinking ML team.