Summary
Luiz Cavalcanti is a Software Engineer II with eight years of experience building AI-driven products and scalable backend systems, currently working in fintech at Sezzle while pursuing an M.Sc. in Artificial Intelligence & Optimization. He blends ML engineering and full-stack development expertise—particularly in Python and Golang—to deploy LLM/NLP solutions, robust microservices, and data pipelines on cloud platforms like AWS and Google Cloud. At Ford he led an LLM-based classification pipeline that processed over 5 million warranty reports across ~300 classes, coordinating a 30+ expert labeling effort and building tooling to reduce annotation friction. His background includes high-throughput web scraping and captcha-solving systems that cut IA costs and improved scalability for a LegalTech startup, plus hands-on experience with Kubernetes, Prometheus/Grafana, Redis, and Aurora. Comfortable switching between research-grade R&D and production engineering, he has a track record of turning complex ML research into reliable, tested services. Based in Bahia, Brazil, he pairs strong technical depth with practical delivery, often improving operational efficiency in ways not obvious from job titles alone.
7 years of coding experience
2 years of employment as a software developer
Master's, Artificial Intelligence & Optimization, Master's, Artificial Intelligence & Optimization at Universidade Federal da Bahia
English, Portuguese, Spanish