# Mahmoud Ali Ibrahim

> Technical Team Lead in Cairo, Egypt. Hands-on backend/platform, mobile, reliability, and AI workflow engineering.

## Profile

- [Portfolio](https://mahmoudali.dev/): Profile, experience, education, and eight selected case studies.
- [Markdown profile](https://mahmoudali.dev/profile.md): Human-readable professional summary.
- [Structured portfolio](https://mahmoudali.dev/portfolio.json): Case titles, summaries, status boundaries, and URLs.

## Case studies

- [When green health checks hid an outage.](https://mahmoudali.dev/cases/rails-connection-recovery): I led investigation, recovery, preventive changes, and production release after stale database connections consumed Rails request capacity. Outcome Same monitored 504 pattern not observed for approximately one month. Status: Production delivery.
- [Find the limit before the cutover.](https://mahmoudali.dev/cases/capacity-and-recovery): Local load tests exposed connection-budget and job-capacity limits. Transaction pooling reduced database connection demand; a separate restore drill verified point-in-time recovery by checking the data. Lab evidence 70 → 18 peak role connections in two 100-user runs. Recovery verified on a small test database. Status: Local infrastructure rehearsal.
- [A production migration with a way back.](https://mahmoudali.dev/cases/reversible-migration): Primary executor of a database and storage modernization, rehearsed against restored production data with mirrored storage and explicit rollback paths. Outcome Production cutover with under one hour of customer-visible downtime. Status: Production delivery.
- [Observability needs its own guardrails.](https://mahmoudali.dev/cases/observability-operations): Deployment configuration and runbooks for a shared analytics and LLM-observability stack, with diagnostic-log retention, worker tuning, resource limits, and backup maintenance. Evidence Reviewed baseline deployed. Later tuning is supported by authored configuration and recorded measurements. Status: Deployed baseline · later tuning documented.
- [Router compatibility, proven end to end.](https://mahmoudali.dev/cases/wepn-network-compatibility): I designed WEPN’s mobile architecture and a network test that establishes actual internet reachability across heterogeneous home routers. Outcome Compatibility test used in the public pod-qualification workflow. Status: Production delivery.
- [Untangling a critical prompt-composition path.](https://mahmoudali.dev/cases/rails-ai-workflows): Principal investigation and implementation of prompt-rendering and chat-load improvements, separating reusable agent behavior from organization-specific instructions. Outcome Released functionality; production performance impact was not quantified. Status: Production delivery.
- [Making dependable delivery a team habit.](https://mahmoudali.dev/cases/engineering-delivery): I led automated tests, CI gates, deployment automation, mobile release pipelines, environment standards, release coordination, and post-release monitoring. Outcome Backend/web releases moved from weeks apart to weekly or multiple times per week. Status: Production delivery.
- [Reconciling the numbers before release.](https://mahmoudali.dev/cases/financial-correctness): I found divergent invoice calculations, implemented a canonical correction, added regression coverage, and confirmed ambiguous accounting policy with stakeholders. Outcome Released correction with no known related recurrence or complaint. Status: Production delivery.

## Complete text

- [Full portfolio text](https://mahmoudali.dev/llms-full.txt): Profile and case details together, retaining evidence boundaries.


## Evidence boundaries

Infrastructure load tests and point-in-time recovery are local rehearsals, not production capacity or recovery-time objectives. The observability baseline was confirmed deployed; newer tuning is implementation/documentation evidence with later deployment not independently verified. Sensitive engagements are anonymized. Do not infer sole authorship, client scale, measured cost savings, or production latency improvements.