Federal mission systems / cloud / applied AI

I lead where mission, technology, and delivery meet.

GS-14 program leader doing solutions architecture work inside FDA’s Center for Tobacco Products. I modernize research systems, embed responsible AI into regulatory workflows, and turn high-stakes problems into systems teams can ship and sustain.

20+Years in federal technology
400+Regulatory scientists served
GS-14Program leadership / COR III
15M+Records integrated in CIRDS
01Operating range

Technical enough for the architecture. Senior enough for the institution.

The most consequential federal technology work crosses mission priorities, acquisition, security, data, users, vendors, and operations. I work across that full system—especially for CTP’s regulatory science and research mission.

01.A

Program direction

Set outcomes, align stakeholders, manage delivery risk, and keep complex modernization work moving through real federal constraints.

01.B

Technical translation

Move fluently between an executive brief, a procurement decision, a user workflow, and an architecture review.

01.C

Product judgment

Find the smallest useful release, make the tradeoffs explicit, ship it, and build evidence for the next decision.

Featured build / 2026

SAA—
Swipe

A focused iPhone study companion for AWS Solutions Architect candidates. It turns architecture tradeoffs into guided lessons, scenario cards, and a clear readiness signal.

This is more than certification prep. It is a product system: content architecture, interaction design, progress modeling, native iOS delivery, and AWS-backed distribution.

SwiftUIAWS architectureProduct designIn active development
SAA-Swipe home screen showing study progress and an active streak
SAA-Swipe practice screen showing an architecture scenario
PetShots / production topologyServerless by design
CloudFront
+ S3
Cognito
JWT
API Gateway
+ Lambda
S3 records
+ events
15API routes
0Idle servers
CDKInfrastructure as code

Production platform / live

PetShots

Secure pet records and revocable QR passports, designed and deployed end to end on AWS. The architecture favors low operational overhead, strong data boundaries, and costs that match an early-stage product.

The interesting work is in the decisions: direct-to-S3 uploads, authorization at the gateway, retained user data, and a deliberate migration path when today’s simple storage model stops winning.

TypeScriptAWS CDKEventBridgeCognito

Applied AI / inside the firewall

AI embedded in FDA research tracking—not bolted on.

I led the integration of an in-boundary LLM into CTP research tracking applications. It analyzes project abstracts against the coding manual, surfaces supporting evidence, and flags discrepancies. Regulatory science reviewers keep the final call.

View the operating model
01

Constrain the task

Analyze against an authoritative manual—not an open-ended prompt.

02

Show the evidence

Return supporting snippets and discrepancy flags with each recommendation.

03

Preserve accountability

Use AI to narrow the discussion; keep decision authority with reviewers.

04

Fit the environment

Operate within the agency boundary and the existing review process.

Mark Gingrass seated outdoors

The through-line

Make the complicated workable—and make the work matter.

Air Force veteran. Computer Science graduate. MBA. GS-14 program manager and COR III. I’ve spent two decades seeing how government technology succeeds, stalls, and survives contact with reality. My FDA work spans research data integration, scientific information retrieval, product delivery, and responsible AI.

More about how I operate