Recruiter note
AJ · 90 sec
Why Lucas is right for your team
Why this candidate is recommended for you
6 years production Laravel at scale — fintech (PicPay), legal (NCBE), and healthcare systems
Built microservices handling millions of monthly requests — not just familiar with scale, has lived it
Actively building AI agents and LLM pipelines in production — one of the few engineers who genuinely does this
Primary skills
Laravel / PHP
6 yrs
Vue.js
3 yrs
Docker
6 yrs
AWS
4 yrs
React
3 yrs
Kubernetes
4 yrs
AI / LLMs
1 yr
PostgreSQL
6 yrs
Assessment scores
Coding test
100
Top 1% · No cheating detected
AI Ability Score
89
Effective + original
Psychometric
AnalyticalSteadyPrecise
DISC · C/S profile
Reference
"Lucas is a proven engineer with several years in VC-backed US tech startups. Beyond the technical ability, his sense of ownership and confident communication make him a genuine asset to any fast-moving team."
Career summary
6 years as a Full-Stack engineer across fintech, legal, and healthcare — Lucas has built microservices handling millions of monthly requests at PicPay, high-traffic backend infrastructure at NCBE, and is currently engineering AI automation pipelines for healthcare workflows at Entermotion. He brings production-grade Laravel depth combined with genuine hands-on AI/LLM experience that most engineers are still catching up to.
Skills
Backend
PHPLaravelJavaSpring BootGolangREST APIs
Frontend
Vue.js v2/v3ReactTypeScriptJavaScriptLivewire
Databases
MySQLPostgreSQLMongoDBRedis
DevOps
AWSKubernetesDockerCI/CDKafkaLinux
AI & LLMs
LLM integrationsAI WorkflowsAI AgentsPrompt EngineeringAgentic Systems
Work history
Senior Software Developer
Sep 2025 – Present
Entermotion Design Studio
Building AI agents with reusable skill-based architecture to automate internal workflows for healthcare clients. Engineering production LLM pipelines that ingest raw patient data for asynchronous document generation and automated chart summaries. Also implementing Stripe webhook processing and fraud management tooling.
LaravelAI AgentsLLMsStripeDockerReactTailwind
Senior Software Developer
Oct 2024 – Sep 2025
NCBE — National Conference of Bar Examiners (US)
Migrated critical legacy systems to microservices for a high-traffic legal services platform serving US lawyers and attorneys. Built and maintained RESTful APIs in Laravel, maintained Docker and AWS infrastructure, and enforced software quality through SOLID, DDD, and TDD with PHPUnit and SonarQube.
LaravelDockerAWS SQS/SESPHPUnitSonarQubeRESTful APIs
Senior Backend Software Developer
Jun 2021 – Oct 2024
PicPay — Fintech (Brazil)
Migrated legacy systems to a modern microservices architecture handling millions of monthly requests. Developed scalable backend services in PHP, Go, and Java with Kafka event-driven architecture. Implemented Redis and MongoDB for high-volume data storage and contributed to high-level architectural decisions for distributed systems at scale.
PHPGoJavaKafkaRedisMongoDBNewRelicDynatrace
Full-stack Software Developer
Dec 2020 – Jun 2021
R7Group Technology
Built a new ERP platform from scratch using Laravel microservices architecture. Worked across backend APIs, SQL database design, and frontend with React, Vue, and Livewire. Enforced SOLID principles and strong security practices throughout.
PHPLaravelVue.jsReactLivewireSQL
Education
UniCesumar
BSc Software Engineering
In progress
Cruzeiro do Sul University
BSc Financial Management
Graduated 2021
Guarulhos University
BSc Accounting & Finance
Graduated 2017
Lucas completed a structured technical interview covering architecture, software quality, and AI engineering. The findings below were written by our technical interviewer — not AI-generated summaries.
Verdict at a glance
Architecture
Strong — production-grade Laravel depth
AI / Agentic
Strong — building real pipelines in prod
Leadership
No formal team lead experience yet
Structural Architecture & Framework Alignment
Inversion of Control & Contract Decoupling
Lucas has a rock-solid grasp of Laravel's Service Container. He clearly explained how it manages automatic class injection to decouple implementations — registering concrete providers bound to interfaces to achieve clean IoC and dependency inversion.
Relational Database Efficiency (N+1 Isolation)
He prevents N+1 query bottlenecks through strict Eager Loading — loading relational object graphs upfront within the same query to prevent nested iteration loops from firing redundant database calls.
Software Quality Philosophy (Behavioral Testing & Pest)
Fluent Test Engineering
Lucas actively uses Pest PHP to construct performant end-to-end test boundaries and behavior validation loops — not as a box-ticking exercise, but as a core part of how he ships code.
Black-Box Testing Mentality
He refuses to couple tests to brittle implementation details like method names or variable declarations — targeting feature behavior and database state modifications instead, keeping code highly refactorable.
Agentic Automation: Custom Multi-Model Orchestration
The Continuous Delivery AI Coworker
For his own workflows, Lucas engineered a fully custom automation pipeline using multiple specialised AI agents via GitHub. Agent 1 pulls issues to build a roadmap; Agent 2 refines the plan; Agent 3 executes code changes directly — Lucas reviews as code owner.
Prompt Performance Guardrails & Self-Healing Debuggers
He built a custom internal testing tool that validates prompt chain changes against strict must-have / must-not-have checklists. He also built a proprietary debugger agent that captures raw error states and summarises the issue instantly — eliminating manual log dives entirely.
Production-Grade LLM Infrastructure
In a complex healthcare system, he builds AI features that ingest raw patient data to handle asynchronous document generation, streaming responses, and automated summaries of patient charts — driving measurable productivity gains for medical staff.
System Constraints & LLM Token Economy
Granular Tooling Files (.claudecode Modularisation)
Instead of dumping entire repositories into an LLM context, he uses modular skill files — keeping high-level guidelines in a master file and writing specific skill attachments that agents search dynamically on-demand, saving significant token costs.
Stateful Execution Checkpoints
When dealing with heavy context window saturation, he flushes his conversation thread to restart clean sessions — re-injecting a single compiled tracking document so the agent picks up the plan flawlessly without losing historical progress.
100%
Final score
Skill ratings
PHP
100%
HTML
100%
Vue.js
100%
Challenges
PHP API Data Aggregation
10/10
No cheating
Vue3 Generate Username
10/10
No cheating
Question answers · 10/10 correct
What is the purpose of
provide and inject in Vue.js?How can you achieve two-way binding on a prop in Vue.js?
What is the purpose of the
final keyword in PHP?DevOps best practices for stable and scalable Kubernetes deployments?
Primary advantage of the Composition API in Vue 3?
What is the purpose of reactive state in Vue 3?
What problem does Vue's virtual DOM primarily solve?
Primary advantage of binding interfaces in Laravel's Service Container?
Most reliable way to prevent duplicate records in high-concurrency Laravel?
Most effective approach to N+1 query issues in Laravel?
Free-form answers
How have you applied DevOps principles to improve reliability and deployment speed?
"I've configured a canary deployment in a Kubernetes environment to allow phased deployments, where we could validate the stability of the system before it becomes available to all users."
Tell us about a complex feature you designed and delivered end-to-end in Laravel.
"I implemented voicemail support in a SaaS product integrated with Twilio API. The feature was designed to be independent of existing phone implementations, with the database addressing idempotency and scalability using lifecycle flags on incoming calls. It involved AWS S3 storage and a frontend voicemail player. I applied an 'at least once' delivery strategy on the webhook endpoint to ensure no incoming calls were lost."
Integrity checks
Left tab switching — Not detected
Pasted from external sources — Not detected
Plagiarism — Not detected
AI usage — Not detected
Psychometric profile coming soon
AI Ability Score coming soon