Justin Chang
I translate messy business needs into technical demos, guided workflows, and clear decisions.
Featured Project
A live case study showing how I structure ambiguity, translate requirements, and turn AI outputs into a guided decision workflow.
Kestrel
Translates a messy job description into fit signals, ranked gaps, and a guided action plan.
requirements mapped
decision signals
workflow views
Built to demo, discover, and translate value
I work from the workflow first: clarify the friction, demo the path forward, and make AI/data tradeoffs understandable.
records modeled
Built risk-scoring workflows from clinical-scale data.
manual review reduced
Reduced analysis time through reusable Python/R pipelines.
completion rate lift
Improved completion after redesigning recruitment and scheduling flows.
technical walkthroughs
Used demos to explain workflow, AI behavior, and next steps.
How I create customer clarity
I am useful when the room needs a credible technical answer and a clear next step.
Demo the customer value
I tailor walkthroughs around the user workflow, decision criteria, and next step.
Diagnose before solving
I map friction, constraints, and decision criteria before recommending a fix.
Translate across the room
I explain architecture, AI outputs, and tradeoffs in language each audience can use.
Tie systems to outcomes
I connect data, automation, and product behavior to workflow impact and decisions unlocked.
Technical ownership across systems and demos
Across research, operations, and product work, I have built pipelines, dashboards, demos, and workflow systems that help stakeholders understand what to do next.
Project Lead & Data Analyst
Temerty Centre for AI Research and Education in Medicine
Owned predictive pipelines across 30K+ records, turning model outputs into risk-scoring dashboards stakeholders could use for decision support.
Senior Project Lead
Ontario Institute for Studies in Education
Designed recruitment, scheduling, and operational dashboard systems across 100+ sessions, improving completion 63% and giving teams cleaner coordination data.
Intern Data Analyst
CAMH
Built Python/R pipelines for 200+ fMRI sessions, reduced manual analysis time by 70%, and demoed outputs and tradeoffs to non-technical stakeholders.
Research Data Analyst
CAMH, PETRUSHKA Study
Standardized PETRUSHKA coordination with Excel, R, SQL, and Tableau tracking systems, reducing handoff friction across clinical and research teams.
Independent Product Builder
Self-Directed
Built Kestrel as a live AI decision-support demo, plus Quail Mail and Chirpie previews around triage logic, structured outputs, attribution, and explainability.
Let's talk solutions.
Open to early-career Solutions Engineering roles where technical demos, discovery, and workflow translation turn complex systems into customer value.
© 2026 Justin Chang
Built to show how I translate systems into demos, workflows, and decisions.
Recruiter links
Best fit