Ka Hei Veronica Chan
Consultant @Improving
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WORK HISTORY
Consultant @Improving
Calgary, AB, CA
At Improving, I consult in data science, machine learning, and data engineering, delivering AI solutions across industries. My work includes ML pipeline development, GenAI/LLM integration, cloud-native deployments, and backend engineering. Key projects:Internal Platform Development (Jul 2025–)Added agent capabilities supporting MCP integration with external LLMs. Enhanced agents with semantic search over knowledge bases for context-aware queries. Implemented Agent2Agent communication for modular task delegation. Built pipelines exposing a legacy code analysis platform as MCP and A2A server for programmatic access to insights.US Aviation Intelligence (May–Jun 2025)Deployed GenAI accelerator on AWS enabling natural language queries over relational databases. Integrated LLM reasoning agent and semantic search over curated SQL to improve query accuracy. Collaborated with stakeholders to refine prompts and guide users. Customized frontend UI for client branding.US Retail (Nov 2024–Apr 2025)Led backend development of Agentic-AI solution for sales opportunity discovery. Engineered data pipelines for automated crawling, scraping, and structuring web data. Integrated Serper and Crawlee for efficient crawling. Used LLMs to transform raw data into actionable insights. Designed scalable backend and database schema.Alberta Oil Company (Mar 2022–Oct 2024)Built end-to-end data pipeline in Azure Databricks for data collection, cleaning, model training, and feature extraction across sites, tracked via MLflow. Collaborated on Power BI dashboards for feature presentation. Led real-time fraud detection feasibility study. Improved ETL by moving to PySpark. Designed Azure Synapse pipelines to automate Databricks execution and training.US Car Manufacturer (Oct 2022–Apr 2023)Worked with stakeholders to improve supplier delay prediction model. Analyzed data to find patterns and model limitations. Engineered new features from historical supplier and operational data.
EDUCATION
University of Melbourne
Bachelor
Chulalongkorn University
Masters
University of Regina
Doctor of Philosophy (PhD)
SKILLS
ABOUT KA HEI VERONICA CHAN
I am a data scientist, machine learning engineer, and data engineer with 7+ years of experience delivering AI solutions across finance, energy, and retail. I have built solutions ranging from real-time fraud detection to LLM- and agent-powered platform that allows natural language data querying. My expertise covers the full data pipeline, from ingestion and transformation to model development and cloud deployment (AWS, Azure). What drives me is helping people solve meaningful problems. I enjoy working with teams to uncover challenges, connect the dots, and build solutions that truly support their goals.
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