Cesar Rodriguez is a Senior Data Scientist based in Berlin with 12 years of engineering experience bridging full-stack software development and applied machine learning. He has built production ML systems across NLP, RAG-based Q&A for financial documents, device identification from smartmeter signals, algo-trading, and spam detection, and routinely ships models and services on Kubernetes using tools like MLflow, Metaflow, HuggingFace, Ray, and cloud platforms (AWS/Azure). His background as a software engineer (Go, Python, Ruby) informs pragmatic, scalable architectures鈥攅xamples include an SMPP server, ecommerce APIs, and real-time ML deployments monitored with InfluxDB/Grafana. At Deep Neuron Lab he led teams to automate extraction and XBRL mapping of financial tables and reduced user workflows by 30% through LLM+embeddings solutions, demonstrating a rare mix of research-grade methods and product-focused delivery. He鈥檚 known for quickly adapting to new technologies and for designing in-house algorithms that turn messy documents and signals into reliable, auditable outputs.
12 years of coding experience
11 years of employment as a software developer
Tecnol贸gico de Monterrey
Bachelor of Science Computer Engineering CS Track, Bachelor of Science Computer Engineering CS Track at Texas A&M University
Master's degree in Computer Science Algorithms Data Analytics and Machine Learning, Master's degree in Computer Science Algorithms Data Analytics and Machine Learning at University of Helsinki
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