Engineering Impact

Measurable results from strategic technical decisions.

Figures come from production systems I worked on. Client names are omitted.

Selected Achievements

Driving value through engineering excellence.

invoice-assistant

A reference implementation of the four pieces, in the open.

  • Tool calling with propagated identity: tools reach the domain through the app's own REST API carrying the user's token, so the assistant can never do more than the person using it
  • Writes are proposed, not executed: structured policy in policies.json, human confirmation, and per-turn limits that stop prompt injection from chaining calls
  • Evals run in CI against a real model; a one-line prompt regression turns the pipeline red
  • Tokens, euros and latency metered per model call, behind a daily spend kill switch
Read the code
Eval cases
36 in CI
Write gate
Server-side
Spend
Daily cap

Platform Re-Architecture

Modernizing a legacy monolith to Cloud-Native.

  • Decoupled monolithic domains into independently deployable services
  • Implemented event-driven communication (Kafka) for resilience
  • Reduced regression testing time from days to minutes
Deployment
Daily
SLA
>99.95%
Pipelines
30+

Cost & Performance Optimization

Scaling up while bringing costs down.

  • Optimized critical database queries and indexing strategies
  • Implemented aggressive caching layers (Redis)
  • Rightsized Kubernetes resources and implemented Autoscaling
Throughput
15k+ msg/min
Architecture
Multi-region
Cloud Spend
Reduced

Operational Excellence Transformation

From firefighting to predictable reliability.

  • Defined and implemented Service Level Objectives (SLOs)
  • Built comprehensive observability dashboards
  • Automated incident response workflows
MTTR
<30m
SLOs
Defined
Monitoring
New Relic

Recognise any of these symptoms?

It starts with a conversation about your current bottlenecks.

Engineering Impact | Alex Martínez