Christian Lezcano

Machine Learning Engineer at Universidad Columbia del Paraguay

San Lorenzo, Central Department, Paraguay
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Summary

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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.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at Universidad Nacional de Asunción
bookSpecialization in machine Learning Engineering, Specialization in machine Learning Engineering at Anyone AI
bookUPC Universitat Politècnica de Catalunya
languagesEnglish, Spanish
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Github contributions (5)

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Contributions:269 commits, 227 pushes, 1 branch in 3 years 2 months
clezcano/clezcano.github.io

Jun 2025 - Jun 2026

Contributions:26 pushes in 1 year
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