Samuel Jacobsen
Artificial Intelligence & Automation Developer - Startse
AI & Automation Engineer with a proven track record of designing and deploying large-scale automation and AI solutions that drive measurable business impact.
At Sicredi, I led the redesign of the account-opening RPA flows, reducing processing time from 2 days to just 2 hours, eliminating repetitive manual tasks, and generating over R$6 million in monthly savings.
At StartSe, I developed end-to-end AI agent systems, including a full compliance automation platform for import/export analysis, accelerating document review and improving accuracy. I also built a machine learning model for high-ticket lead qualification, raising predictive accuracy from 70% to 89%, and designed advanced data storytelling frameworks to surface actionable insights for decision-makers.
Beyond engineering, I delivered the AI & Automation for Leaders program, where I raised the course NPS from 3.7 to 4.6 within one cycle, proving my ability to blend technical execution with high-impact communication and education.
Skilled across a broad stack (Node.js, Next.js, Spring Boot, Python, scikit-learn, PyTorch, FastAPI, Django, MongoDB, PostgreSQL, AWS Lambda, Docker, GitHub Actions, Serverless), I thrive at combining strategic vision, technical depth, and business alignment.
Currently advancing my research in Computational Intelligence and studying Go.