I’m a Senior Machine Learning & MLOps Engineer with 5+ years of experience across the entire ML and software engineering lifecycle — from research to production. I specialize in building scalable ML applications, cloud-native architectures on AWS, and robust DevOps/MLOps pipelines using Kubernetes, Docker, Terraform, and CI/CD. My experience spans pharmaceuticals, cybersecurity, and AI marketing, where I’ve helped teams take models from Jupyter notebooks to reliable, production-grade deployments. I hold a research background in MLOps from the University of Waterloo, and I’m passionate about simplifying ML systems for real-world business impact. Whether you’re a student, early-career engineer, startup founder, or senior developer — I can help you architect better systems, improve performance, or guide your career.