Luay Matalka

● Architected and deployed end-to-end machine learning pipelines and rule-based systems using Google Cloud Platform (GCP) services, including Vertex AI and Cloud Run, to enable scalable, automated workflows for real-world applications. ● Architected and deployed high-throughput, end-to-end ML pipelines on Google Cloud Platform (GCP) using Vertex AI, Cloud Run, and Cloud Functions, improving model deployment speed by 60%. ● Developed containerized ML microservices with Docker, integrated into CI/CD workflows using GitHub Actions, Terraform, and Scalr, ensuring scalable, reproducible infrastructure. ● Led implementation of continuous training (CT) pipelines with integrated model monitoring, drift detection, and performance logging via Cloud Monitoring, Alerting, and Cloud Logging. ● Implemented secure, production-grade infrastructure following Infrastructure as Code (IaC) principles using Terraform modules, reducing configuration errors and increasing system uptime. ● Mentored engineers and facilitated cross-team knowledge transfer in MLOps best practices, DevOps principles, and cloud architecture, fostering a culture of automation and reliability.

● Developed production-ready ML workflows on AWS, leveraging SageMaker (Python SDK), Lambda, Docker, EC2, and Step Functions to automate and streamline the ML lifecycle. ● Integrated CI/CD pipelines using GitLab CI, GitHub Actions, and Jenkins, enabling rapid deployment and rollback of ML models with version control and reproducibility. ● Created real-time interactive dashboards using Plotly Dash, hosted on EC2, connected to AWS Redshift, enabling dynamic multi-tab data visualization and workflow execution. ● Wrote comprehensive documentation and created onboarding tutorials, covering topics like MLOps pipeline architecture, CI/CD/CT strategies, and AWS service integration for internal stakeholders. ● Collaborated with DevOps and data engineering teams to build secure, compliant, and scalable ML systems in regulated environments (FedRAMP, AWS GovCloud).

● Engineered PII redaction pipeline for 220M+ insurance images using GCP DLP API, Cloud Functions, Pub/Sub, and Cloud Storage, ensuring regulatory compliance (GDPR, CCPA). ● Built ETL/ELT workflows for model training using BigQuery, Apache Beam (Dataflow), Cloud Storage, and Vertex AI, enabling scalable feature engineering. ● Maintained and deployed models via Vertex AI Pipelines, with automated retraining and RESTful API integration, supporting high-throughput inference systems. ● Managed BigQuery Data Catalogs, applying policy tags and access controls to enforce data governance and compliance. ● Developed Python-based batch scripts to process 1B+ unstructured files (XML, JSON), ingesting cleaned datasets into BigQuery for downstream analytics.

● MCAT (Medical College Admission Test) and GRE (Graduate Records Exam) Instructor at the University of Alabama at Birmingham. ● Design and teach MCAT and GRE courses during Spring, Summer, and Fall semesters. ● Classes have consisted of both on-campus and online learning. ● Courses include subjects such as: Mathematics, Biology, General Chemistry, Organic Chemistry, Biochemistry, Physics, and others.

● Routinely publish programming and data science articles on Medium publications such as: Towards Data Science, Towards AI, Better Programming, and gitconnected. ● Top Writer in Artificial Intelligence and Technology on Medium with over 2,000,000+ views.

Python, machine learning, data science, mathematics, biology, physics, general chemistry, organic chemistry, biochemistry, and physiology tutor.

● MCAT (Medical College Admission Test) Instructor at Kaplan Test Prep. ● Taught multiple MCAT courses in different cities/states. ● Courses included subjects such as: Biology, General Chemistry, Organic Chemistry, Physics, and others.

Immersive Data Science Program Graduate

● Summa Cum Laude ● Presidential Honors List ● Biology Honors Program ● Global and Community Leadership Honors Program ● Minor in Chemistry

Graduate studies towards a Doctor of Medicine (MD)

Graduate studies towards a Doctor of Pharmacy (PharmD)