Selected work / public mission + private execution
What I’ve led and built.
Federal research systems, applied AI, native iOS products, and serverless AWS platforms. Real users, real constraints, and work that made it into production.
Modernizing the information layer behind regulatory science.
At FDA’s Center for Tobacco Products, I connect research operations, data integration, scientific retrieval, acquisition, and product delivery. Much of the implementation is internal; the mission and several core systems are documented publicly.
CTP Integrated Research Data System
CIRDS
I helped lead CIRDS from proof of concept toward production and am first author on FDA’s public technical poster about the platform. CIRDS integrated more than 15 million records from four previously disconnected sources into a unified search and discovery experience for CTP scientists.
View the FDA technical poster ↗Integrated records
Research projects and documents brought together across four heterogeneous sources.
Source systems
RTS, TCKB, iDAT, and the UCSF Truth Tobacco Industry Documents archive.
Mission context
FDA’s current IT plan describes AIRRS as a CTP Office of Science suite supporting scientific and business analysis.
FDA IT plan ↗02 / AI inside research tracking
Let AI do the comparison. Let experts make the decision.
I led the integration of an in-boundary LLM into CTP research tracking applications. It analyzes regulatory research abstracts against the governing coding manual and returns recommendations, supporting evidence, and discrepancy flags.
The AI cuts down the manual comparison work and shows its reasoning. Regulatory science staff remain responsible for the decision.
Reduce low-value comparison work
Direct expert attention toward disagreements and edge cases.
Ground every recommendation
Use the governing manual and surface the evidence behind the output.
Keep reviewers accountable
The system recommends. FDA staff decide.
Design for the agency boundary
Integrate into the existing research workflow and security environment.
03 / Commercial iOS product / live
Tutorial—
Repo
TutorialRepo is a native learning platform that connects guided material, active recall, architecture scenarios, review, and progress in one focused experience. The first full course serves AWS SAA-C03 candidates; the system is designed to launch more courses without rebuilding the product around every subject.
One product. Every part of the strategy.
TutorialRepo forced connected decisions across positioning, course design, native iOS, cloud delivery, subscriptions, publishing, and support. I set the direction and carried the product through launch.
Platform strategy
Give independently marketed courses one reusable product for structured learning, practice, review, and progress.
Product site ↗Learning loop
Connect sequential tutorials, active recall, scenario practice, missed-question review, and readiness into a clear next action.
Publishing system
Use one repeatable pipeline to publish new courses while letting each course serve its own market.
Running the product
Handle subscriptions, App Store releases, AWS services, support, and what comes after launch.
OAC
JWT
Lambda
EventBridge
04 / AWS platform / production
PetShots
Pet records with shareable, expiring QR passports. Built as a serverless system to keep idle cost and operational burden close to zero without giving up clean security boundaries.