Summary
Nelson Joppi is a Data Scientist and AI Engineer with 10 years of experience building production-grade ML and LLM systems across both public sector and commercial settings. He has driven end-to-end GenAI initiatives—from designing prompt architectures and hybrid intent routing for a WhatsApp sales assistant at Stone to re-architecting a nationally recognized government GenAI platform (VigIA) that processes large-scale procurement data. Nelson blends ML engineering, data pipeline design (Spark/Hadoop, Airflow), and pragmatic LLMOps practices—advocating controllable knowledge selection and tool-mediated guardrails to improve reliability in the field. He also brings hands-on product experimentation experience, having established A/B testing methodology and tooling for agent-facing features. Comfortable shipping integrations across backend, UI, and orchestration layers, he pairs technical depth with frequent user discovery (shadowing, 1:1s) to ground AI solutions in real-world workflows.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal de Santa Catarina (UFSC)
Portuguese, English, Spanish