Pablo Aguiar
Software Engineer @Qyobo
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WORK HISTORY
Software Engineer @Qyobo
Munich, DE
Architecting a composable data extraction platform processing 1.5M+ documents (PDF/DOCX) with an endomorphic function-based design that empowers any mid-level engineer to ship features independently—turning complex document parsing into a solved problem. Built and fostered engineering culture through \"coffee\'n\'code\" team events—post-work hackathons on passion projects (kicker stats tracking, Slack bots), coffee tastings, and knowledge sharing sessions that strengthened collaboration and innovation. Eliminated infrastructure complexity by migrating from Celery/multiprocessing to Temporal, allowing the team to focus 100% on business logic and enabling fault-tolerant distributed processing at scale. Achieved 20x performance improvement through systematic profiling and optimization, identifying and resolving critical bottlenecks in the extraction pipeline. Established engineering excellence standards: automated code quality (pylint, black, isort, pre-commit), comprehensive documentation, troubleshooting runbooks, and reusable patterns that cut onboarding time from weeks to days.🤖 Built automated CAPTCHA solving using computer vision and OCR (OpenCV, Tesseract), streamlining document access in high-volume extraction workflows.Tech Stack: Python • Temporal • PostgreSQL • MongoDB • Trino • DBT • TypeScript • Vue.js • Computer Vision • OCR • Data Engineering
EDUCATION
Centro Universitário de Belo Horizonte
Bachelor's degree, Computer Science
SKILLS
ABOUT PABLO AGUIAR
Computer Scientist with 20+ years of solid experience. Strong distributed systems, microservices, TDD, CI/CD, DevOps abilities. FOSS contributor + enthusiast. Coffee geek. Mentor at HackIllinois. Specialties: Python, Go, Lua, Redis, Elasticsearch, Git, Fish,*nix, Coffee, et al (in no part. order). Having lots of fun with Rust <3 and Elixir <3
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