Sebastian Lemus

I’m a Mechatronics Engineer (Expected June 2026) specializing in applied artificial intelligence, process automation, and data science. I focus on building AI solutions that execute real work—from data extraction and cleaning to automated decision-making.

In my engineering internships and technical roles, I’ve designed and deployed predictive models with Python (PyTorch, Scikit-learn, Pandas) and supported end-to-end adoption by mapping processes, standardizing workflows, and producing technical documentation. I bridge engineering and concrete business needs by aligning models and automation with how teams operate.

At AZTECA TELECOMUNICACIONES, I built a predictive AI model in Python (Scikit-learn) to estimate fault resolution times, trained on real corporate historical databases. I also created an end-to-end tool to standardize and validate escalation evidence between CEA and CNOC, reducing ambiguity in a previously manual, error-prone process.

At GOSHEN GESTORÍA TÉCNICA AMBIENTAL Y DE RIESGOS S.A.S., I processed operational energy-system data to generate KPIs and performance reports using Python and advanced Excel. My automation projects include n8n workflows for intelligent email management, web scraping pipelines, and integrating the Claude API (Anthropic) into operational pipelines with reliability-focused validation and traceability.