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WORK

Work

Selected architecture, platform, and delivery engagements with documented outcomes, explicit maturity notes, and conservative evidence framing.

CLOUD ARCHITECTURE · PLATFORM OPERATIONS

Platform Control Tower

Multi-cloud operations and governance control surface.

Showcase build

Evidence-anchored case study with sanitized architecture and workflow visuals.

Maturity note: Showcase build with production-ready foundation framing. Evidence in release workflows, smoke scripts, and dual-cloud deployment automation supports the maturity position while keeping client-sensitive details private.

Evidence anchors

  • Control Tower case-study evidence available Open

Challenge: Pipeline visibility, governance signals, and triage workflows were fragmented across tools and manual runbooks.

Approach: Unified FastAPI and aggregation UI workflows with deterministic triage paths and release guardrails.

Role: Sole author across architecture, API implementation, aggregation UI, release automation, and documentation.

Architecture: FastAPI backend + Flask aggregation UI + Snowflake data access + dual-cloud deployment automation.

Key components

  • FastAPI operational and governance endpoints
  • Flask aggregation UI over Azure and AWS API sources
  • Smoke gates, deployment fingerprint checks, scheduled regression
PythonFastAPIFlaskSnowflakeGitHub ActionsAzureAWS
Open live UIOpen APIView case study

AI INTEGRATION · PLATFORM-INTEGRATED CONTROLS

Governed AI Platform

Cross-cloud governed RAG reference implementation.

Working PoC

Sanitized excerpt evidence shows represented governed RAG and deterministic DQ flow.

Maturity note: Working PoC with internal tooling concept framing. Core governed workflow behavior is implemented and demonstrable, while production-performance claims remain intentionally conservative.

Evidence anchors

  • Governed AI case-study evidence available Open

Challenge: AI retrieval workflows often lack deterministic governance checkpoints and auditable control trails.

Approach: Separated AI enrichment from decision authority via deterministic DQ/policy gates and Snowflake audit persistence.

Role: Sole author across architecture, backend implementation, governance logic, cross-cloud CI/CD, and documentation.

Architecture: FastAPI routers for RAG and DQ flows, Snowflake-backed audit path, and OIDC CI/CD to Azure and AWS targets.

Key components

  • Citation-grounded RAG query endpoints
  • Deterministic DQ and policy verdict logic
  • Audit write-back and authenticated route contracts
PythonFastAPISnowflakeRAGGitHub ActionsAzureAWS
Open AWS demoOpen Azure demoView case study

INTERNAL TOOLING · DELIVERY FOUNDATION

gitpushandpray.ai

Portfolio platform with CI and post-deploy smoke discipline.

Internal tooling concept

Public content surface with repeatable quality gates and conservative claim boundaries.

Maturity note: This site is a production-ready content surface for portfolio evidence, but its primary purpose is proof presentation rather than product runtime claims.

Evidence anchors

  • Portfolio CI quality-gate evidence placeholder Source: .github/workflows/ci.yml

Challenge: Proof and case-study content needed a single, maintainable public-safe surface for buyers and hiring teams.

Approach: Structured content-driven Next.js build with repeatable quality gates and route-level smoke checks.

Role: Sole owner: UX structure, front-end implementation, content architecture, and release workflow.

Architecture: Next.js App Router + typed content modules + CI quality gates + post-deploy smoke checks.

Key components

  • Reusable project and case-study rendering model
  • Lint, typecheck, unit, build, and smoke in CI
  • Scripted deploy and post-deploy route checks
Next.jsReactTypeScriptTailwindPlaywrightGitHub Actions
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