01
Canvas Native Lab
16 interactive capability studiesAn interactive field guide to the experimental HTML-in-Canvas API, built around progressive enhancement, accessibility, and real browser behavior.
Technical trainer · software engineer
I turn complex systems into things people can use, test, and learn from.
I'm a Technical Trainer at Revature who builds practical AI, data, cloud, and web experiences—with an emphasis on reliability, clear teaching, and evidence that the work actually runs.
Hundredsof engineers mentored
Build + teachone connected practice
Reliable by designtests, fallbacks, and clear boundaries
Selected work / 2026
Systems with something to prove.
Public projects selected for technical depth, useful interaction, and a clear learning or operating outcome.
02
Data Analytics Learning Lab
Source-backed, reproducible analysisA synthetic product-growth environment for practicing data-quality checks, metric reasoning, dashboards, and decision-ready reporting.
03
Data Engineering Workbench
From event ingestion to orchestrated outputsA hands-on collection of streaming, Spark, Airflow, Docker, and data-quality exercises designed to make distributed systems observable and testable.
04
Clanker Build Journal
Shipping decisions in publicA public operating journal for AI-native workflows: experiments, design decisions, prototypes, telemetry, and what changed after each build cycle.
Working principles
Useful before flashy.
The same principles shape the software, the learning experience, and the way results are communicated.
Build for inspection
Make state, constraints, and failure modes visible. A system should be understandable before it is impressive.
Teach through artifacts
Turn explanations into labs, testable examples, rubrics, and reference implementations that people can actually use.
Design for the fallback
Treat accessibility, recovery, synthetic fixtures, and bounded permissions as first-class product behavior.
About
Engineer's curiosity.
Educator's clarity.
My work sits where software engineering and developer education meet. I've supported engineers across AI, data, cloud, full-stack, and mobile development—often by translating a complex system into a sequence people can inspect, practice, and own.
I'm especially interested in reliable AI applications, agent-assisted engineering, data systems, and interfaces that make hidden behavior visible.
AI applicationsRAG & retrievalData engineeringDeveloper toolingTechnical curriculumCloud & operations
Open channel
Let's compare notes.
For conversations about developer education, AI systems, data engineering, or open-source learning projects.