Understand the operation
Talk to the people doing the work and observe what actually happens.
Engineering close to the problem
From the real processto software that works.
I work alongside users and teams to understand the business, build the solution and integrate it into production. Software, cloud and AI applied to an outcome we can measure.
LIVE / DELIVERY MAPSYSTEM ACTIVE
01
INPUTReal problem
FDEDISCOVER · BUILD · SHIP
05
OUTPUTMeasured impact
SOFTWAREbuild
INTEGRATIONconnect
PRODUCTIONoperate
ADOPTION
real value
01 / APPROACHTHE PROBLEM BEFORE THE STACK
Technology is not my starting point.The bottleneck is.
Code is part of the answer. First, we need to discover what slows people down, where information gets lost, which rules are undocumented and how we will know the intervention worked.
That is where an FDE works: at the boundary between business, data and engineering, accountable from the first question through adoption.
Build with judgment
Choose the right solution, even when the answer does not require AI.
Prove the change
Compare against a baseline: time, cost, quality, risk and adoption.
02 / METHODFROM AMBIGUITY TO PRODUCTION
A short cycle.
End-to-end ownership.
Delivery does not end when a demo appears. It ends when the solution works in context, people can use it and the team has learned something reusable.
01
Observe
Understand the real process, the people, exceptions and constraints before proposing technology.
02
Focus
Turn ambiguity into a clear hypothesis, a baseline and an outcome we can test.
03
Build
Design and implement the smallest solution that addresses the problem’s most important risk.
04
Integrate
Connect data, APIs, identity and infrastructure without ignoring the existing environment.
05
Measure
Validate adoption, reliability, cost and speed; learn and turn the result into a reusable capability.
03 / CAPABILITIESBREADTH WITH DEPTH
Cross the layers
without losing the outcome.
Value does not come from collecting tools. It comes from connecting the ones required for an idea to survive contact with reality.
DISCOVERY
Product and business
Interviews, process mapping, requirements, prioritization, metrics and translation between technical and operational teams.
BUILD
Software and integrations
Backend, APIs, automation, data and complete applications with Go, JavaScript, Java, Python and Rust.
SHIP
Cloud and production
AWS, containers, Kubernetes, CI/CD, observability, IAM, networking and operable architecture decisions.
AUGMENT
Applied AI
Models, agents and automations introduced when they improve the system, with evaluation and human review.
04 / EXPERIENCEPROBLEMS, SYSTEMS AND LEARNING
Applied experience
The experience that matters happens between layers.
I have worked from functional support to backend development, automation and technical research. That combination makes it possible to see both the system and the people who depend on it.
01
Operations
From delivery notes and spreadsheets to a traceable system
I identified a digital transformation opportunity, worked with the people performing the job and built outward from the most critical processes through successive iterations.
02
Automation
Support that understands intent and context
I worked on automating support channels with classifiers, entities and intents before the rise of generative AI.
03
Research
Decide with evidence, not preference
I led research initiatives and MVPs to compare tools, frameworks and strategies through transparent, deterministic metrics.
Working principle
Fewer demos.
More production.
The best solution is not the flashiest one. It reduces friction, can be operated with confidence and leaves the team better prepared than before.