Projects and Case Studies

A selection of the work I have led or contributed to across software development, data platform modernization, and AI adoption.

Proprietary Operations Platform

Problem: A business-critical operations workflow was running on fragmented legacy tooling, leading to data inconsistency and manual workarounds at every handoff.

Approach: Designed and delivered a unified internal platform with clear service boundaries, API-first integration points, and a governed data layer backed by SQL Server. The team adopted trunk-based development and CI/CD to reduce deployment friction.

Outcome: Eliminated the majority of manual reconciliation steps, reduced defect rate on core workflows, and gave operations staff a single source of truth.

Integration Reliability Initiative

Problem: Multiple third-party and internal system integrations were failing silently under load, causing downstream reporting gaps and support escalations.

Approach: Introduced an event-driven integration pattern with dead-letter queues, structured retry policies, and centralized observability. Standardized error contracts across integration points.

Outcome: Near-elimination of silent failures. On-call load from integration issues dropped significantly within two months of rollout.

AI-Assisted Developer Workflow Pilot

Problem: Engineering teams were using AI coding tools inconsistently, with no shared standards for review, prompt quality, or output verification.

Approach: Established a lightweight governance framework: tool selection criteria, review checklists, and a shared prompt library. Ran a structured pilot with a subset of the team before broader rollout.

Outcome: Improved first-pass code review pass rate and reduced time-to-first-working-draft on net-new feature work.

SQL Server Platform Stabilization

Problem: Legacy database environments had accumulated years of deferred maintenance, undocumented dependencies, and inconsistent backup validation.

Approach: Conducted a structured audit, established a maintenance baseline, introduced automated backup verification, and documented the environment for team continuity.

Outcome: Improved backup reliability, reduced unplanned incident response time, and gave the team a documented operational baseline to build from.

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