Feng Zhang
Lead ML Engineer @ AstrumU | Machine learning, Data Scientist, Deep Learning, MLOps, NLP, LLM, CI/CD, Cloud
- Role
- Lead Machine Learning Engineer at Astrumu
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Feng Zhang
15+ years of experience with statistics, data warehouse, machine learning, deep learning…
Experience
Lead Machine Learning Engineer
Oct 2019 — Present · Bellevue, WA, US
Designing AI platforms, include machine learning architecture and data engineering ecosystem from scratch. Collaborate with stakeholders to understand business needs and translate them into actionable data science projects. Build a user-friendly customer engagement platform and mobile app. Attracting 30+ universities to join this platform.•Developing and transforming data science prototypes from model data preparation to model training to inferencing for complex and large-scale applications, include schema design, data collection and ingestion, data storage, distributed systems, feature engineering, model training and validation, integrating the latest advancements about recommendation method, Generative AI, LLM, NLP and prediction algorithm into our ML ecosystem.•Building end-to-end data customized pipelines. I independently own full stack handle programming technology completed customer data ETL Pipeline, translate model requirements into efficient data pipelines, ensuring optimal data quality, data clearing and analysis, processing, and integration. Successfully supported data driven platforms running.•Deployment of the model to AI backend as REST API server at production environment, realized container-based deployments utilizing containerization (Docker) and orchestration (Kubernetes) for high availability and scalability at cloud infrastructure. Moved from an offline environment and integrated into an existing production environment.•Collaboratively throughout the product lifecycle with software engineers, project manager and DevOps team by CI/CD pipeline and MLflow, Github, and kubernetes, using MLOps workflow continuously update data, code, and models, accomplish implementation of best practices for model versioning, experiment tracking, and model evaluation to ensure reproducibility and transparency, for seamless model deployment, monitoring, and ongoing optimization.
Education
Jilin University
Master's degree, Geographic Information System
1998 — 2001
Jilin University
Bachelor's degree, Geographic Information System
1994 — 1998
University of Chinese Academy of Sciences
Doctor of Philosophy (PHD), Computer Science, Geographic Information System
2001 — 2004
Skills
- 数据分析
- Gis
- Land Cover/Use Dynamic Change
- 可持续性
- 研究
- Quantitative Ecology
- 战略规划
- 图像处理
- 气候变化
- Ecosystem Ecology
- 科学
- Environmental Science
- 可持续发展
- Remote Sensing
- 遥感
- Arcgis
- Digital Image Processing
- 环境科学
- Landscape Ecology
- Environmental Protection
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