Chapter I · About

I am a software and data engineer with a foundation in economics. I build practical systems that move data, surface insight, and make decisions easier. My work lives at the intersection of analytics, product, and AI, and I care deeply about craft, clarity, and the human consequences of technology.

I have worked across remote teams in the US and Canada, and I co-founded a startup focused on fisheries in Southern Africa. The through-line is always the same: build with empathy, design for real constraints, and keep learning in public.

Snapshot

• Focus: data engineering, full-stack product, AI-assisted workflows
• Domains: analytics pipelines, decision support, community-focused products
• Interests: economics, history, probability, systems thinking, and incentives

Education

Guilford College (Dec 2016)

• BS in Computer Science, BA in Economics
• Honors Program, Student Marshal, Rising Mathematics Award, First Year Writing Award

Experience Highlights

• Senior Software/AI Engineer, WorkMatch (Remote, USA) Jul 2025 - Present

  Architected an ETL pipeline using AWS DMS, Glue, and Aurora PostgreSQL to power BI dashboards.

  Improved team velocity by integrating AI-assisted coding workflows.

• Full-Stack Engineer & Data Analyst, Independent Consultant (Ottawa, Canada) Nov 2022 - Present

  Built full-stack web applications with React and Node.js with automated testing and CI/CD.

  Integrated AI and analytics pipelines, driving a 40% increase in user engagement.

  Building a community-focused childcare platform with React and TypeScript.

• Data/Analytics Engineer, Heyday by Hootsuite (Remote, Canada) Oct 2021 - Aug 2022

  Built PII anonymization workflows and event processing pipelines (1M+ daily events).

  Improved analytics reporting and CI/CD tagging for faster deploys.

• Software Engineer & Co-founder, Startup in Stealth (Ottawa, ON / Luanda, Angola) Jul 2020 - Aug 2021

  Led full-stack development for a fisheries marketplace (React, Node.js, GraphQL).

• Software/AI Engineer, MicroMetrics (Ottawa, ON) Feb 2020 - Jun 2020

  Extended a Rails hospitality product and evaluated NLP models for product integration.

• Software Developer, El Toro (Louisville, KY) Fall 2017 - Feb 2020

  Built budgeting and forecasting tools (React, Python/Flask).

  Co-developed ML systems for ad impression pacing (TensorFlow, Docker, AWS).

Chapter II · Recent Posts

Projects and Builds

• High-performance ETL platform for BI analytics on AWS.
• AI-assisted coding workflows to reduce time-to-ship.
• Community childcare discovery app with React + TypeScript.
• PII anonymization systems for responsible data use.

Chapter III · Principles and Values

• Build with compassion: listen first, design around real stakes, ship with dignity.
• Define the event: operational definitions create shared reality.
• Probability is belief updated by information, not a fixed property of the world.
• Learning is log-normal: new domains have long tails and hidden steps.
• Compound curiosity: each answer should unlock a better question.
• Honor the work: craft and pacing matter.

Chapter IV · Questions I am wrestling with

• How do we teach resilience without celebrating burnout?
• What does a humane partnership with AI feel like day-to-day?
• How might communities scale trust as they scale impact?
• How do incentives shape the ethics of technology?
• What does good decision-making look like under deep uncertainty?

Contact

GitHub: https://github.com/yvesdu

Email: yvesdu16@gmail.com