I am Qingbo Hu, an AI Engineer with hands-on experience designing and developing AI-powered applications, with a strong focus on building intelligent, user-friendly platforms for learning and knowledge delivery. I excel at translating high-level ideas into practical AI solutions—such as recommendation systems, conversational assistants, and personalized learning workflows—and I am comfortable guiding projects through the full AI development lifecycle from data preparation to model deployment in real-world applications. I enjoy collaborating with non-technical stakeholders to ensure AI features align with learning goals and deliver real value. I also enjoy advising on project scope, timelines, and trade-offs to help clients move from planning to execution. Based in San Mateo, I am passionate about education technology and using AI to boost student engagement, personalize learning paths, and improve accessibility.

Qingbo Hu

I am Qingbo Hu, an AI Engineer with hands-on experience designing and developing AI-powered applications, with a strong focus on building intelligent, user-friendly platforms for learning and knowledge delivery. I excel at translating high-level ideas into practical AI solutions—such as recommendation systems, conversational assistants, and personalized learning workflows—and I am comfortable guiding projects through the full AI development lifecycle from data preparation to model deployment in real-world applications. I enjoy collaborating with non-technical stakeholders to ensure AI features align with learning goals and deliver real value. I also enjoy advising on project scope, timelines, and trade-offs to help clients move from planning to execution. Based in San Mateo, I am passionate about education technology and using AI to boost student engagement, personalize learning paths, and improve accessibility.

Available to hire

I am Qingbo Hu, an AI Engineer with hands-on experience designing and developing AI-powered applications, with a strong focus on building intelligent, user-friendly platforms for learning and knowledge delivery. I excel at translating high-level ideas into practical AI solutions—such as recommendation systems, conversational assistants, and personalized learning workflows—and I am comfortable guiding projects through the full AI development lifecycle from data preparation to model deployment in real-world applications.

I enjoy collaborating with non-technical stakeholders to ensure AI features align with learning goals and deliver real value. I also enjoy advising on project scope, timelines, and trade-offs to help clients move from planning to execution. Based in San Mateo, I am passionate about education technology and using AI to boost student engagement, personalize learning paths, and improve accessibility.

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Experience Level

Language

English
Fluent

Work Experience

Sr. AI/ML & Data Scientist at Intuit
September 1, 2023 - Present
Architected event-driven AI frameworks on GCP and AWS to unify multi-source datasets into secure, governed data lakes; developed data models mapping complex user movements and resource distribution; led SageMaker-based ETL pipelines for automated model training and deployment; implemented robust testing architectures with dbt and Snowflake; engineered scalable data extraction with Apache Spark; optimized visualization workflows for real-time leadership dashboards.
Data Science & Analytics at Roblox
September 1, 2022 - September 1, 2023
Designed complex data models to support a high-performance analytics platform serving millions of daily active users; optimized BigQuery schemas for low-latency queries; built end-to-end data pipelines with Dataflow and Pub/Sub; integrated telemetry data into automated user engagement features and guided testing architecture for large-scale ingestion, reducing pipeline errors by 25%.
Staff Machine Learning Engineer at Intuit
September 1, 2018 - September 1, 2022
Implemented large-scale analytical engineering solutions for real-time forecasting and performance tracking; led the integration of advanced MLOps into CI/CD pipelines; developed complex ETL processes with Snowflake for diverse datasets; managed end-to-end lifecycle of data projects and optimized SQL workflows to accelerate data access for modeling.
Sr. Data Scientist at LinkedIn
June 1, 2016 - September 1, 2018
Designed large-scale data ingestion pipelines for network growth and engagement analytics; developed logical data models for real-time recommendations; used SQL and Python for insights and visualizations to guide platform modernization; performed root cause analysis to resolve ETL bottlenecks and ensured data governance and privacy.

Education

Doctorate Degree at University of Illinois Chicago
January 1, 2011 - December 31, 2016
Bachelor’s Degree at University of Science and Technology of China
January 1, 2007 - December 31, 2011

Qualifications

AWS Certified Machine Learning – Specialty
June 1, 2025 - December 22, 2025
AWS Certified AI Practitioner
November 1, 2024 - December 22, 2025
AWS Certified Database – Specialty
September 1, 2022 - December 22, 2025

Industry Experience

Education, Software & Internet, Computers & Electronics, Media & Entertainment, Professional Services