Santiago Felipe Arteaga Martin

Teach theory classes for the Data Structures and Algorithms course to 20-60 undergraduate students per semester, create exams and assignments, and evaluate students.

Teach and coordinate the CS Bridge summer course in Python with Stanford University for 100 high school students, supporting their personal projects.

Design, teach, and coordinate PyLatino, a virtual Python course in Spanish adapted from Stanford's Code in Places, for over 1,000 students in Peru and Colombia.

Served as main instructor for Data Structures and Algorithms, coordinated labs for over 200 students, and led a team of teaching assistants.

Developed and validated AI and ML models for automatic verification of software architectures and analytic pipelines, using Python (Tensorflow), MongoDB, and PostgreSQL.

Collected and analyzed academic and operational data for the undergraduate curricular reform of the Department of Systems and Computing Engineering.

Designed flows and platforms to integrate corporate data and processes with JBoss Redhat Integration Fuse Platform and JBoss Redhat Developer Studio, and monitored information quality.

Led the update and extension of Orfeo, the core mission software, with C# and .NET, managed the application catalogue, audited code, and consolidated documentary information sources.

Developed Java web applications to analyze chemical risk and model data of the Aburrá Valley.

Designed and implemented solutions to inspect and certify hydrocarbon exploration and production equipment.

Designed data- and metamodel-based IoT architectures with Model Driven Engineering, integrating development technologies in Java, Arduino, Wiring, NodeJS, and Node-RED. Processed hydrocarbon production data with Docker, MongoDB, and NodeJS (MeteorJS).

Developed solutions in Python (Flask) to inspect and certify hydrocarbon exploration and production equipment.

Analyzed experimental and manufacturing data in machining from CSV and Excel logs with Python, and documented results in LaTeX.

Implemented applications to process and analyze real-time signals and data with C/C++, Python, Simulink, and Labview. Supported activities, labs, workshops, and exams for the Manufacturing Systems course.

PhD candidate in Engineering. Completed coursework; graduation planned for December 2026.

Completed Master's degree in Digital Humanities. Graduation planned for December 2026.

Completed Bachelor's degree in Mechanical Engineering.

Completed high school diploma in December 2003.

Cultural and academic exchange in high school with the agency YFU (Youth for Understanding).

Completed Master's degree in Information Technology Architectures.

Completed Bachelor's degree in Systems and Computer Engineering.

Completed minor in Japanese Language and Culture.