Summary
MLOps and Machine Learning Engineer with strong experience designing, building, and supporting AI platforms that accelerate the development and productionization of machine learning solutions. Skilled in automation, orchestration, and scalable deployment of data and AI workflows. Proven track record in integrating machine learning platforms with governance and compliance frameworks, and in enabling cutting-edge AI capabilities such as large language model serving. Recognized for combining deep technical expertise with continuous learning, innovation, and a focus on building reliable, production-ready AI systems.
Experience
Machine Learning Engineer · EPAM Systems
Apr 2022 – Present
- Developed a blueprint ML project using MLflow and Apache Spark, providing a reusable template to standardize future ML projects.
- Co-developed an AI platform (AAAI) enabling data scientists to develop and productionize ML projects across multiple environments (dev, QA, PROD) using Azure DevOps, Azure Databricks, and Azure Data Factory.
- Integrated New Relic monitoring into the AI platform to track and optimize job performance, improving reliability and visibility of workflows.
- Implemented Model Risk Governance (MRG) by integrating the platform with IBM OpenPages and AIFS, ensuring compliant model classification and risk-tiering.
- Automated creation of serving endpoints in Databricks via the Databricks AI Gateway, enabling AI Foundry LLMs to be exposed as production-ready services.
- Evaluating MLflow and Unity Catalog (UC) as the foundation for an enterprise-wide Agent Registry to standardize model and agent management.
- Provide ongoing support and continuous improvement for the AI platform and MRG integration, ensuring stability and adoption across teams.
- Designed and developed a modern ML platform implemented with DevOps Pipelines and Databricks Asset Bundles.
Data Scientist · DCKStudios
May 2019 – Apr 2022
- Applied data and process mining techniques to generate process flow models, providing actionable insights to guide future organizational decisions.
- Developed AI applications to enhance user experience, including speech-to-text, adult content detection, and brand/emotion recognition, leveraging Azure Custom Vision, OpenCV, image classification, object detection, and image processing.
- Built a machine learning solution for detecting water leaks in distribution networks using hydraulic simulations and reinforcement learning (Gym OpenAI).
Skills
- MLOps & ML Platforms: MLflow, Databricks, Unity Catalog, Model Serving, Feature Engineering
- Cloud & DevOps: Azure, CI/CD, DevOps Pipelines, Databricks Asset Bundles, Deployment Strategies
- Machine Learning: Model Development, Machine Learning Engineering, Responsible AI
- Data & Analytics: Data Understanding and Preparation, Data Mining
- APIs & Integration: REST APIs, Platform Integration, Automation
Education
Bachelor of Electrical Engineering
Universidad de los Andes (VE) · 2011 – 2019
Certificates
- 2023 Databricks Certified Machine Learning Professional
- 2023 Databricks Academy Accreditation — Databricks Lakehouse Fundamentals
- 2023 Databricks Certified Machine Learning Associate
- 2022 Microsoft Certified: Azure Data Scientist Associate
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