About kyle
Kyle is a Machine Learning Ops Engineer at TikTok, owning reliability for a real-time training pipeline across multiple global data centers, generating training samples at PB scale daily for ads recommendation models. His path started in Materials Science. The instinct for tracing materials failures to their root cause followed him into ML systems. He is building toward full-stack ML systems, from real-time pipelines and feature stores, to model training and serving at scale.
Key Skills
Experience
Machine Learning Ops Engineer
CurrentTiktok
* TikTok Global Ads Infrastructure SRE * Ensure reliability for PB-scale data pipelines supporting critical ads recommendation models * Spearhead automated resource inspection and capacity modeling to optimize utilization and reliability across thousands of cloud-native services, including compute engines, YARN, HDFS, and MQs * Collaborate across R&D and algorithm teams to enhance ads recommendation systems, directly supporting infrastructure for a multi-billion dollar revenue stream
Machine Learning Engineer
Element Energy
* Design and build custom ML pipelines with Python and MLflow, automating workflows for large-scale time-series data and reducing retraining cycles with continuous training * Led data storage migration from millions of local files to Google BigQuery, optimizing data ingestion and reducing feature loading time * Managed core battery algorithms codebase and CI/CD pipelines for production deployment in the cloud
Data Analyst
Element Energy
* Battery Algorithm Development Team * Build ML pipelines using Python and MLflow for systematic model retraining and benchmarking in both local machines and cloud. * Expedite algorithm development cycles by developing web applications (full-stack) using Python (Plotly Dash) for data visualization and annotations * Manage core battery algorithms codebase and CI/CD pipelines for production in the cloud * Develop data dashboards and pipelines for monitoring R&D project on battery long-term degradation
Education
Stanford University
Masters
Stanford University
Bachelors
National Tsing Hua University
Bachelors
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Common Questions
What is kyle's expertise?
kyle specializes in MLOps Engineer, with expertise in adobe photoshop, apache flink, apache kafka, apache spark, bash.
Where is kyle located?
kyle is based in sunnyvale, california, united states.
How much experience does kyle have?
kyle has 9+ years of professional experience.
How can I contact kyle?
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