Summary
Christian Lezcano is a Machine Learning Engineer with 10 years of experience who builds production-grade AI systems by combining data engineering rigor with agentic and retrieval-augmented architectures. At Vitaly Paraguay he engineered low-latency RAG pipelines and an Autonomous Multi-Agent System that orchestrates DTC sales and customer support, and he accelerated embedding workloads with CUDA to cut processing time by 90%. He has a strong foundation in cloud-native deployment, CI/CD, and MLOps, and has migrated and modernized data platforms to reduce latency and streamline predictive model delivery. Beyond industry work, he mentors undergraduate thesis projects and teaches information systems at Universidad Columbia del Paraguay, translating research interests in discrete optimization and structural constraints into practical generative-AI solutions. Comfortable spanning SQL, Airflow, LangChain, PyTorch and production APIs, he focuses on reliable reasoning over enterprise data and safety-critical human-in-the-loop controls that balance automation with compliance.
10 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universidad Nacional de Asunción
Specialization in machine Learning Engineering, Specialization in machine Learning Engineering at Anyone AI
UPC Universitat Politècnica de Catalunya
English, Spanish