Alex
Luangxay
Software Engineering student (CO-OP) at Concordia University. Building scalable data pipelines, AI-driven automation workflows, and distributed backend engines. Interested in high-throughput systems, latency optimization, and infrastructure.

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// TECHNICAL STACK & TOOLS
// WORK EXPERIENCE
Caisse de dépôt et placement du Québec (CDPQ)
CURRENTSoftware & Data Engineer Intern — External Data Optimization Team
Montréal, QC
• Architected an operational email parser converting unstructured messages into structured business requests.
• Designed full Snowflake data model (email, request, audit tables) with transaction safety & idempotency.
• Integrated Databricks serving endpoints via REST APIs for LLM analysis, metadata extraction & recommendation scoring.
• Built executive Power BI reporting solutions tracking $100M+ budget allocation across software & data platforms.
Budget visibility owned end-to-end for VP stakeholders.
Caisse de dépôt et placement du Québec (CDPQ)
Data Developer — External Market Data Team
Montréal, QC
• Implemented and optimized Apache NiFi data integration pipelines for high-throughput supplier market data.
• Orchestrated automated ingestion using AWS S3, Snowflake Stages, Tasks, and Snowpipe into enterprise data warehouses.
• Maintained Snowflake views, analytical schemas, and automated workflows to increase platform query reliability.
Caisse de dépôt et placement du Québec (CDPQ)
Data & BI Engineer Intern / Student — Reference Market Data Team
Montréal, QC
• Deployed Power BI dashboards tracking enterprise cloud data migration progress and pipeline status.
• Developed automated recovery tools for corporate SSIS jobs, significantly reducing manual intervention.
• Implemented Delta validation controls across environments to flag data inconsistencies prior to downstream consumption.
// PROJECTS & HACKATHON WINS
AI Medical Diagnostic Platform
Full-stack educational platform for medical diagnostic training. Generates dynamic clinical cases from symptom datasets with automated AI chatbot evaluation logic.
Automated Expense Categorizer
Web application for invoice management and automated expense breakdown. Integrated custom AI APIs to analyze and categorize user spending patterns in real-time.
ConUHacks Web Platform
Collaborative full-stack web application designed and shipped during a 24-hour sprint in a 4-person team.
AI Video & Numerical Recognition
Python-based video enhancement engine featuring AI-driven pattern matching and numerical recognition tools.

Montréal, QC (EST)
Stock Market & Chess
Analyzing trends & strategy patterns
Guitar, Piano & Rubik's Cube
Acoustic compositions & speedcubing