CV

Contact Information

Name Patrick Deng
Professional Title Data Engineer & MLOps
Email keqi.deng@outlook.com
Phone 647.514.4114
Location Toronto, Ontario
Website https://kdeng4.github.io/

Professional Summary

Data Engineer building production pipelines and applied ML systems. M.Sc. Computer Science, Georgia Tech.

Experience

  • 2024 -

    Mississauga ON

    Data Engineer (MLOps)
    Walmart Canada
    Own the end-to-end Ads CRM data warehouse on GCP BigQuery, processing 70 M+ records daily to power customer targeting, segmentation, and marketing ROI.
    • Architected and own the Ads CRM data warehouse in GCP BigQuery, orchestrating ETL pipelines via Airflow that process 70 M+ records daily and serve as the single source of truth for customer targeting.
    • Designed a customer segmentation framework using clustering and dimensionality-reduction techniques, enabling marketing to launch precision campaigns that measurably improved ad ROI.
    • Built an identity-resolution pipeline linking web and in-store transactions, increasing identifiable customer events by ~2 % and strengthening cross-channel attribution.
    • Developed a GenAI agentic tool with LangGraph and LLM APIs (GPT, Gemini) that automates data-quality checks and ad-hoc analysis, reducing manual investigation time.
    • Conducted statistical analyses (regression, time-series, A/B testing) on large-scale customer datasets, delivering actionable insights to product and marketing stakeholders.
    • Partnered with data-science and analytics teams to optimize back-end data sources, improving accuracy and simplicity of downstream reporting workflows.
  • 2021 - 2024

    Mississauga ON

    Data Engineer
    Dane Creek Capital Corp.
    Built the cloud data platform from the ground up for a multi-brand B2C/B2B company, delivering BI dashboards, predictive models, and cost-efficient infrastructure.
    • Designed and implemented a cloud-based data warehouse on GCP with Airflow, integrating CRM, ERP, and analytics sources into scalable ETL pipelines that improved reporting accuracy by 25 %.
    • Deployed Metabase as the company-wide BI tool, replacing costly legacy software and reducing data-tooling licensing costs by ~40 %.
    • Built predictive models for customer behaviour analysis (churn prediction, product recommendations) that improved retention rates and informed product-offering decisions.
    • Designed a loyalty-program data framework, structuring customer engagement metrics and redemption tracking to support strategic marketing initiatives.
    • Optimized financial forecasting workflows with Python, SQL, and analytical tools, reducing manual effort and improving operational efficiency across the finance team.
    • Championed adoption of GCP and Azure cloud services, establishing cost-efficient, scalable infrastructure for the growing data team.

Education

  • 2022 - 2025

    Atlanta GA, USA

    Master of Science
    Georgia Institute of Technology
    Computer Science - Interactive Intelligence
    • Artificial Intelligence
    • Knowledge Based AI
    • Natural Language Processing
    • Database System Implementation
    • Game AI
    • Software Development Process
    • Machine Learning for Trading
    • Intro to Information Security
    • Human Computer Interaction
  • 2018 - 2020

    Calgary AB, Canada

    Master of Engineering
    University of Calgary
    Chemical Engineering
  • 2014 - 2018

    Calgary AB, Canada

    Bachelor's Degree
    University of Calgary & Southwest Petroleum University (Cohort)
    Engineering

Publications

Skills

Languages (Master): Python, SQL, R, MATLAB, Java, C#, HTML/CSS
Data Engineering & Cloud (Master): ETL/ELT Pipelines, Airflow, Kafka, GCP (BigQuery, Vertex AI), Azure, Data Modeling, Data Quality Monitoring
Databases & Visualization (Advanced): BigQuery, PostgreSQL, MS SQL Server, MySQL, Cassandra, Tableau, Power BI, Looker, Metabase, Streamlit
Machine Learning & AI (Advanced): PyTorch, TensorFlow, Scikit-learn, NLP / Transformers, LLM APIs (GPT, Gemini), Recommendation Systems, Clustering, LangGraph
DevOps & Tools (Proficient): Docker, Kubernetes, CI/CD, Git, Jupyter Notebooks

Languages

English : Native speaker
Chinese Mandarin : Native speaker
Chinese Sichuanese : Native speaker
Japanese : Beginner
French : Beginner

Interests

Outdoor Activities: Skiing, Hiking, Trail Adventures
Creative Pursuits: Reading, Music

Projects

  • Raven's Progressive Matrices (RPM) Agent

    Designed an AI agent to solve Raven’s Progressive Matrices, a human intelligence test, using knowledge-based AI techniques. Achieved 80% accuracy on advanced visual analogy problems.

    • Implemented an AI agent to process visual analogy problems in 2x2 and 3x3 formats
    • Reflected on human cognition by modeling AI to achieve human-like reasoning
  • American Sign Language Recognition with Hidden Markov Models

    Designed and implemented an AI agent leveraging Hidden Markov Models (HMMs) to recognize American Sign Language (ASL) gestures from video input.

    • Trained HMMs on a dataset of ASL signs, achieving accurate recognition of gestures with high confidence levels
  • Job Application Timeline Tracker (Android App)

    Developed a full-featured Android app to track job application timelines, enabling users to organize, edit, and monitor applications from start to finish.

    • Designed a user-friendly interface for managing job applications
    • Utilized IntelliJ IDEA for development and Android SQLite for data storage
    • Followed a comprehensive software development process, including design, test planning, and documentation