Daniel Rocha is a Senior Data Engineer with a decade of experience blending deep mathematical research and production ML engineering, currently finishing a PhD in Mathematics at IMPA. He has driven ML platform and prediction-performance work at major Brazilian tech firms (Globo, iFood) and now builds data systems at Web Fórum, bringing rigorous problem-solving from algebraic geometry to real-world ML pipelines. Proficient across Python, Java, C-family languages, Linux ops and modern data tooling (Kafka, Elasticsearch, Mongo), he specializes in automating model deployment, monitoring and latency-sensitive predictions. Beyond production systems, he prototypes ML experiments—like a Q-learning + Keras Snake AI—and pairs academic rigor with pragmatic engineering to move models from proof-of-concept to scalable service.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Universidade Federal do Rio de Janeiro
PhD Mathematics, PhD Mathematics at IMPA - National Institute of Pure and Applied Mathematics
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