Summary
Bruno Kuasney is a Brazil-based data scientist and ML/AI practitioner with 10 years of experience and a formal background in statistics. He has a proven track record building real-time ML systems, recommendation engines, fraud detection and LTV strategies, and deploying them at scale using Docker, FastAPI, Kafka/Faust, ClickHouse and CI/CD. As an independent consultant he built production-grade APIs and LLM-powered WhatsApp chatbots integrated with calendars and databases to automate customer service and appointment scheduling. His work spans startups and larger companies—driving a 20% uplift in player engagement at Gaming Innovation Group and improving revenue and operational efficiency in multiple engagements. Comfortable across the full ML lifecycle, he blends statistical rigor with practical engineering, often collaborating closely with data engineers to ship low-latency, scalable solutions. Fluent in Portuguese and experienced abroad, he brings a pragmatic, product-oriented approach to AI adoption for small and enterprise businesses.
10 years of coding experience
7 years of employment as a software developer
Statistician Bachelor's Degree Statistics | Statistics Models, Statistician Bachelor's Degree Statistics | Statistics Models at UFPR
Statistician Bachelor's Degree Statistics | Statistics Models, Statistician Bachelor's Degree Statistics | Statistics Models at Universidade Federal do Paraná
Portuguese, English, English