Daniel Vargas

Developed an AI-powered procurement item-matching system for a car parts retailer, significantly improving procurement efficiency. Delivered an AI Agent-powered system for automatic data extraction from invoices and built a Generative AI-powered compliance solution, enhancing quality standards.

Led AI engineering initiatives, ensuring compliance with health information regulations and managing agile processes to prioritize impactful features for the business.

Provided expert advice on AI solutions and strategies, enhancing the company's AI capabilities and project outcomes.

Designed and implemented machine learning infrastructure for human activity recognition, developing neural networks for boxing punch detection and deploying models on Android devices for real-time processing.

Designed and facilitated a data science training program, coaching data analysts and enhancing their technical proficiency to meet business objectives.

Trained neural network models for eye-tracking applications and operationalized deep learning pipelines, enhancing model deployment capabilities and real-time inference.

Analyzed business requirements and crafted an NLP model to support requirements management, improving efficiency in the elicitation process.

Developed a recommendation system for an audio streaming service, achieving high accuracy in content recommendations.

Supported aircraft development phases through project management processes, ensuring completion within scope and budget.

Led continuous improvement projects, achieving significant reductions in lead times and rework rates through process optimization.

Consulted on Lean Six Sigma projects, mentoring teams and achieving significant cost savings across multiple companies.

Established validation procedures for computerized systems and led design experiments to improve process parameters.

Managed successful manufacturing system transfers and led Lean Six Sigma projects to enhance production efficiency.

Led projects to improve inventory management and production efficiency, optimizing assembly space usage.

Led the deployment of SAP in the Caribbean cluster, enhancing operational efficiency and data management.

Completed a course on Generative Adversarial Networks, exploring their architecture and applications.

Completed a course in Natural Language Processing, focusing on techniques and applications in AI.

Completed a course on Machine Learning Engineering for Production, focusing on MLOps practices.

Achieved certification as an Azure Data Scientist Associate, demonstrating proficiency in data science on Azure.

Completed a Nanodegree in Machine Learning Engineering, focusing on practical applications of machine learning.

Completed a course in Deep Learning, covering neural networks and their applications.

Completed a Data Science Specialization, focusing on data analysis and statistical modeling.

Achieved certification as a Certified Lean Six Sigma Black Belt, demonstrating expertise in process improvement.