VulnFlow
Reliable processing
190 findings returned through paginated results; replaying an accepted event preserved one terminal result, while a controlled retry reached the DLQ and recovered through a reviewed redrive.
Backend · Cloud · Platform
I build backend and cloud systems for work that cannot be left to chance: events that must not be lost, workloads that must recover, and data flows that need to remain understandable as they grow.
Engineering principles
Selected work
Two full case studies, plus two public repository projects.
Browse all selected projects →
Personal project
Security-report ingestion from agent upload to normalized cloud result.
Focus: Asynchronous AWS processing with explicit retry, DLQ and idempotency handling.
Open case study →
Personal project
Queue-backed benchmark execution with isolated multi-language workers.
Focus: RabbitMQ-backed workers execute language-specific containers and return authenticated results.
Open case study →
Data platform
Multi-source ingestion, normalisation, deterministic scoring and content-hash deduplication.
Focus: Reliable source adapters, explainable ranking, and privacy-aware tracking.
Open repository →
Security project
Tested Python pipeline for discovery, validation, correlation and reporting.
Focus: Passive-to-active profiles with evidence-aware scoring and structured outputs.
Open repository →
Case-study evidence
Historical, sanitized evidence from controlled runs; no live telemetry or private data is exposed here.
VulnFlow
190 findings returned through paginated results; replaying an accepted event preserved one terminal result, while a controlled retry reached the DLQ and recovered through a reviewed redrive.
BenchLab
Queue-backed execution keeps long-running work outside the API, with language-specific containers and an authenticated callback boundary.
Attack Surface Mapper
Tested Python workflow for discovery, validation, correlation and reporting, with evidence-aware scoring and structured outputs.
JobRadar
Multi-source ingestion with reliable adapters, explainable ranking and content-hash deduplication.
Professional experience
Develop Java/Spring Boot backend services and REST APIs for production applications; contribute to database operations, CI/CD and deployment; and work directly with clients to clarify requirements and validate delivered solutions.
Direction
I want to work on cloud platforms that process large volumes of data without becoming fragile or opaque. That means thinking about throughput, recovery, observability, cost and security from the first design decision—not adding them after the system is already in production.
My focus is backend, cloud and platform engineering: the infrastructure and services that let product teams move quickly while the system remains reliable when traffic, data and operational pressure increase.
Contact
For roles or technical conversations in backend, cloud and platform engineering, email me at gabrivacarog@gmail.com or connect at linkedin.com/in/vacarogoytiagabriel.