Rodrigo Fiorin

• Teach Big Data, Machine Learning, and Python to undergrad and grad students, blending theory with real-world applications. • Designed hands-on projects that boosted student employability by 20%— helping bridge academia and industry. • Mentor students in systems analysis, with a 90% success rate in project completions. • Skills: Teaching technical concepts, Python, data analysis, student mentorship.

• Developed and taught SQL and systems analysis courses, earning 95% student satisfaction. • Led a data migration initiative that cut processing time by 25%, modernizing outdated systems. • Skills: SQL, systems architecture, project management, training.

• Spearheaded a .NET and SQL Server migration, reducing transfer time by 15% through optimization. • Ensured seamless transition to modern systems with minimal downtime. • Skills: Data migration, SQL Server, .NET, process improvement.

• Taught programming and systems analysis, with projects that raised student employability by 15%. • Skills: Curriculum development, student career coaching.

• Managed IBM Mainframe and Unix systems, optimizing workflows to reduce processing time by 20%. • Ensured high availability for critical banking operations. • Skills: Legacy systems, performance tuning, IT operations.

• Developed an AI-powered earthquake early warning system using fiber- optic distributed acoustic sensing (DAS). • Trained machine learning models to detect seismic signals in noisy environments. • Part of the FONDEF-funded project (ID20I10089), tested on REUNA’s underground fiber network.

Thesis: Nano-machining and optical sensor fabrication for environmental /industrial use. • Gained deep expertise in optical material characterization, data analysis, and solving real-world sensing challenges.

• Specialized in laser microfabrication for optical devices, working with hard materials. • Developed precision engineering skills in micro-processing and material analysis.

• Focused on agile project leadership, team coordination, and technical project delivery. • Learned to bridge the gap between engineering and business strategy.

• Built a strong foundation in software (C++), algorithms, and system optimization. • Thesis work in systems analysis—where my passion for problem-solving began.