Kim Kim Ly

Senior Full-stack Software Engineer @Manulife

Waterloo, ON, CA

Full‑Stack ML & MLOpsBuild, train, and deploy machine learning models using Python, TensorFlow, and PyTorch, supporting both batch and real‑time inference workloads.Design and deliver production‑grade ML inference APIs using FastAPI, optimized for low‑latency, high‑throughput, and scalable model serving.Deploy and operate containerized ML services on Azure Kubernetes Service (AKS) with tuned CPU/GPU utilization, autoscaling, and cost‑efficient resource management.Implement end‑to‑end ML pipelines using Azure ML, Azure Storage, Azure Networking, and Key Vault for secure training, model registry, and deployment workflows.Apply MLOps best practices including CI/CD for model and API deployments, model versioning, monitoring, lineage tracking, and automated rollback strategies.Optimize Kubernetes clusters for ML workloads using HPA/VPA, tuned node pools, GPU placement strategies, and inference‑time batching. Observability Automation (New Relic)Built high‑performance automation APIs using FastAPI to orchestrate observability workflows and integrate with New Relic GraphQL and REST APIs.Developed automation pipelines to programmatically create and manage Workloads, Alert Policies, NRQL Conditions, Notification Channels, and Destinations.Implemented full end‑to‑end alert routing workflows, integrating with incident management platforms such as xMatters and Moogsoft.

Georgia Institute of Technology

Master of Computer Science , Machine Learning

Seneca Polytechnic

Computer Programming

University of Manitoba

Bachelor of Commerce - BCom, Actuarial Science and Accounting