Leonardo Urena Nikolova
@leonardourenanikolov
I build agentic AI and machine-learning systems that automate enterprise cybersecurity operations.
Costa RicaWhat I'm looking for
At Stryker, I build production AI, machine learning, and data-integration systems that connect fragmented enterprise data and improve cybersecurity operations. My work has enabled entity resolution across 200,000+ records, reduced manual review volume by 55%, and cut investigation time from about 25 minutes to 6 minutes.
I design Python, SQL, PySpark, Databricks, and Azure workflows for normalization, record linkage, classification, semantic retrieval, RAG, and multi-agent LLM applications. I also build ground-truth datasets, benchmarks, evaluation metrics, and failure-mode analyses to make ML and LLM outputs more reliable.
Earlier, I automated cybersecurity engineering workflows at Emerson and developed a deep convolutional neural network for laboratory-validated lncRNA-miRNA interactions, improving predictive performance by 23.5%.
Experience
Work history, roles, and key accomplishments
Enabled entity resolution and record linkage across 200,000+ records from 15 heterogeneous enterprise sources by building Python, SQL, and PySpark pipelines. Reduced manual review volume by 55% and average investigation time by 75% through production AI workflows and classification models.
• Lead the design and implementation of enterprise AI, machine learning, data, and automation solutions supporting security operations, incident response, cyber hygiene, and identity analytics.
• Architected an AI-powered SOC investigation workflow using Azure Functions, API integrations, Retrieval-Augmented Generation (RAG), and specialized expert agents, reducing average investigation time from
• Cybersecurity Engineer within Emerson’s Power & Water Solutions Cybersecurity Center of Excellence, developing and supporting cybersecurity solutions for industrial Distributed Control Systems used by energy-generation customers worldwide.
• Led the design and implementation of customizable security-hardening solutions covering operating systems, DCS infrastructure, historians, secure protocols,
• Conducted state-of-the-art research on lncRNA-miRNA interactions in collaboration with the Tumor
Chemosensitivity Laboratory (LQT) of the University of Costa Rica.
• Developed a predictor of lncRNA-miRNA interactions related to aneuploid cancer using Machine Learning/AI
• Characterized the secondary structure and implemented a Deep Convolutional Neural Network to improve accuracy and AUC scor
Education
Degrees, certifications, and relevant coursework
Tecnológico de Costa Rica
Licentiate degree, Mechatronic Engineering
2019 - 2022
Tecnológico de Costa Rica
Bachelor of Engineering - BE, Mechatronic Engineering
2015 - 2019
Instituto Jimenez
Web Design
2012 - 2013
Instituto Jiménez Quesada
Technician's Degree, Computer Support and Web Design
Earned Technician's Degrees in Computer Support, Repair & Maintenance and Web Design.
Tecnológico de Costa Rica
Licentiate Degree, Mechatronic Engineering
Licentiate Degree in Mechatronic Engineering with Emphasis in Artificial Intelligence and Computer Vision.
Tecnológico de Costa Rica
Bachelor of Engineering, Mechatronic Engineering
2015 - 2019
Earned a Bachelor of Engineering in Mechatronic Engineering, building a strong foundation in engineering principles.
Instituto Jimenez
Computer Repair and Maintenance Technician
2012 - 2013
Availability
Location
Costa RicaAuthorized to work in
Job categories
Skills
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