Umer Jamil

Experienced DevOps leader proficient in AWS, GCP, Terraform, Docker, k8s and CI/CD pipelines. Led diverse projects, including AWS cloud infrastructure design, on-premises migration, mobile app CI/CD automation. Expertise in monitoring, security tools integration, and fostering a DevOps culture. Strong documentation and training skills.

Conducted an interactive and engaging 40-hour DevOps training program for a cohort of 25 participants. Covered a comprehensive curriculum encompassing various industry-relevant skills and tools.

Experienced ML DevOps architect specializing in Nvidia Triton, Docker, and Flask for ML module deployments on bare metal servers. Proficient in end-to-end ML lifecycle, ASR system development, stream classification, reinforcement learning, and rule engines. Skilled in serverless deployments, CI/CD pipelines, and Kubernetes for GPU-enabled ML+Software pipelines. Strong in monitoring, automation, and MLOps practices.

• Executed various data-related tasks using Python, including data cleaning, exploratory data analysis, feature engineering, and predictive modeling, using Python, Tableau. • Prototyping ML models, including Deep Learning, Computer Vision, and Speech Recognition, using PyTorch and TensorFlow; experience in model training, inference, validation, and other related tasks.

Computer Science, Computer Engineering