Summary
Highly accomplished AI Infrastructure Engineer with over 10 years of experience designing, building, and optimizing scalable MLOps platforms and distributed systems for machine learning workflows. Proven ability to drive significant improvements in model deployment efficiency, resource utilization, and operational stability across diverse cloud environments. Seeking to leverage deep expertise in Kubernetes, cloud infrastructure, and data pipelines to architect next-generation AI solutions.
Experience
Mar 2021Present
Senior AI Infrastructure EngineerGoogle
Mountain View, CAJun 2017Feb 2021
AI Platform EngineerNVIDIA
Santa Clara, CAJun 2014May 2017
Software Engineer, Machine LearningMicrosoft
Redmond, WAProjects
Jan 2023Present
MLOps Pipeline on Kubernetes
Sep 2020Dec 2022
Distributed GPU Scheduling Framework
Mar 2019Aug 2020
Serverless ML Inference API
Education
Aug 2012May 2014
Carnegie Mellon UniversityMS in Computer Science
Pittsburgh, PAAug 2008May 2012
University of California, BerkeleyBS in Electrical Engineering
Berkeley, CASkills
KubernetesDockerAirflowMLflowTensorFlow Extended (TFX)KubeflowGoogle Cloud Platform (GCP)AWSAzureTerraformAnsibleServerless Functions
