Selected work (03)

What changed, and by how much.

Every engagement is anchored to a baseline. These write-ups show the starting point, the intervention, and the measured result. Client identifiers and figures are illustrative placeholders pending approval.

[Client Name — Fintech, Series B] placeholder

Cutting release cycles from six weeks to daily for a fintech platform

A regulated payments platform replaced manual, quarterly releases with a fully automated pipeline and progressive delivery — without a single customer-visible incident during migration.

Change failure rate: 22% → 3%
MTTR: 4 hours → 12 min

DevOps
Kubernetes
Fintech
CI/CD

[Client Name — Healthcare SaaS] placeholder

Reducing cloud spend 41% while improving reliability for a healthcare SaaS

A HIPAA-adjacent patient platform moved off hand-built infrastructure onto a codified, observable AWS platform with predictable cost and tested disaster recovery.

Recovery time objective: untested → 22 min
Uptime: 99.4% → 99.99%

Cloud
AWS
Healthcare
Cost Optimisation

[Client Name — Logistics] placeholder

Grounded document intelligence for a logistics operator

A retrieval-augmented system that extracts structured data from unstructured shipping documents, with an evaluation harness that made quality measurable and defensible.

Extraction accuracy: 81% → 97.5%
Cost per document: −68%

AI
RAG
Logistics
Automation

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