
ML/DevOps Engineer who architects, deploys, and operationalizes secure, cloud-native machine learning systems at scale
ML/DevOps Engineer who architects, deploys, and operationalizes secure, cloud-native machine learning systems at scale. Experienced in automating pipelines, orchestrating data workflows, and hardening infrastructure across AWS and Kubernetes environments. Proven ability to optimize inference performance, instrument observability, and enforce compliance for regulated industries, especially healthcare and enterprise retail.
Architecting and deploying secure, cloud-native ML systems with automated pipelines and data workflows
Hardening infrastructure across AWS and Kubernetes with CI/CD guardrails and infrastructure-as-code
Enforcing compliance for healthcare and retail with comprehensive observability and monitoring systems
A timeline of my professional experience and career milestones in cloud technology and software development.
Architecting production-grade personalization platform on AWS powering product recommendations and homepage personalization

Built HIPAA-compliant laboratory data and MLOps platform ingesting HL7 records with reproducible ML analytics and secure reporting

Administered Linux infrastructure supporting GIS research environments and geospatial compute workloads
My educational foundation in computer science, cybersecurity, and advanced technologies that shaped my career.
Specialized in cutting-edge technologies and advanced computer science concepts with focus on practical applications.

Specialized certification program focusing on international cybersecurity frameworks and strategic security analysis.


Comprehensive undergraduate program establishing strong foundation in computer science fundamentals and practical applications.

I'm always interested in hearing about new opportunities and exciting projects. Whether you want to discuss cloud solutions, data analytics, or software development, feel free to reach out!