Summary
Alexis Alulema is a software engineer with over a decade of experience building scalable backend and cloud data systems, now contributing to Microsoft’s M365 Core Auth team on authentication and token validation infrastructure. He specializes in bringing AI and LLM projects into production, with hands-on experience in RAG, multi-agent systems, vector DBs, and LLMOps across Azure, Databricks, and AWS. Alexis has designed end-to-end AI pipelines—from data ingestion and transformer model evaluation to inference and fine-tuning (LoRA/PEFT)—and has been a finalist in a LATAM Airlines ML challenge. A published NLP researcher with an M.S. in Computer Engineering (IoT) and multiple cloud/AI certifications, he also teaches software development at the master’s level, bridging academic theory and industry practice. Known for pragmatic architecture and mentoring, he has led distributed teams delivering microservices, CQRS/event-driven systems, and real-world enterprise solutions across Latin America and Europe.
11 years of coding experience
18 years of employment as a software developer
Deep Learning Nanodegree Foundation, Deep Learning, Deep Learning Nanodegree Foundation, Deep Learning at Udacity
Ingeniero en Electrónica, Telecomunicaciones, Ingeniero en Electrónica, Telecomunicaciones at Universidad de las Fuerzas Armadas - ESPE
Launching an Innovative Business Specialization, Entrepreneurship, Launching an Innovative Business Specialization, Entrepreneurship at University of Maryland, College Park@Coursera
Software Design and Architecture Specialization, Computer Software Engineering, Software Design and Architecture Specialization, Computer Software Engineering at University of Alberta@Coursera
Master of Science - MS, Computer Engineering - Internet of Things, Master of Science - MS, Computer Engineering - Internet of Things at The University of New Mexico
Data Science Specialization, Data Science, Data Science Specialization, Data Science at Johns Hopkins University@Coursera
English, Portuguese, Spanish