Justin Chang
I build AI-powered workflows, dashboards, and technical demos that turn complex systems into clear next steps.
Python · SQL · TypeScript · React · Next.js · OpenAI APIs · Tableau · Data Pipelines
Recruiter snapshot
Fast signals for HR, hiring managers, and technical reviewers.
Target roles
Solutions Engineering · Technical Product · Product Operations · AI/Data Workflows
Technical stack
Python · SQL · TypeScript · React · Next.js · OpenAI APIs · Tableau
Core strengths
Technical demos · workflow mapping · stakeholder communication · dashboards
Proof
30K+ records processed · 70% faster analysis · 63% higher study completion · 3 live AI products
Featured Case Study
A live AI product showing how I translate messy job requirements into structured fit signals, skill gaps, and a clear decision workflow.
Kestrel
Turns a target job description into role requirements, fit signals, ranked skill gaps, and a clear action roadmap for job seekers.
Role relevance: technical demo · requirement mapping · AI workflow design · user-facing decision support
JD parsed
fit signals
output views
Built for roles that need technical depth and clear communication
I map workflows, identify friction, explain tradeoffs, and turn AI/data systems into usable product experiences.
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.
product walkthroughs
Used walkthroughs to explain workflow, AI behavior, and next steps.
How I support technical and customer-facing teams
I am most useful where product context, technical detail, and stakeholder communication need to stay aligned.
Make the workflow visible
Process mapping · user journeys · technical walkthroughs
Find the real friction
Gap analysis · requirements discovery · workflow diagnosis
Explain technical tradeoffs
APIs · LLM outputs · data pipelines · implementation constraints
Connect systems to decisions
Dashboards · success metrics · stakeholder readouts
Experience turning data systems into operational workflows
Across health AI, research operations, and product work, I have built pipelines, dashboards, scheduling systems, and AI workflows that make complex work easier to coordinate, explain, and act on.
Project Lead & Data Analyst
Temerty Centre for AI Research and Education in Medicine
Built predictive pipelines across 30K+ records and translated model outputs into risk-scoring dashboards for stakeholder decision support.
Senior Project Lead
Ontario Institute for Studies in Education
Redesigned recruitment, scheduling, and operational dashboard workflows across 100+ sessions, improving completion 63% and giving teams clearer coordination data.
Intern Data Analyst
CAMH
Built Python/R pipelines for 200+ fMRI sessions, reduced manual analysis time by 70%, and explained outputs and tradeoffs to non-technical research stakeholders.
Research Data Analyst
CAMH, PETRUSHKA Study
Built Excel, R, SQL, and Tableau tracking systems for PETRUSHKA operations, standardizing coordination and reducing handoff friction across clinical and research teams.
Independent Product Builder
Self-Directed
Built Kestrel as a live AI decision-support product and developed Quail Mail and Chirpie previews focused on triage logic, structured outputs, attribution, and explainability.
Let's talk technical fit.
Open to early-career Solutions Engineering, Technical Product, Product Operations, and AI/Data Workflow roles where clear systems thinking and stakeholder communication matter.
© 2026 Justin Chang
Built to show how I explain systems, design workflows, and make technical work easier to act on.
Recruiter links
Best fit