12/06/2025 updated
100 % available
Data and AI Engineer
LOYALL, USA
Worldwide
Bachelor of Arts in Spanish and International AffairsAbout me
My work combines data engineering, OOP, and machine learning to build intelligent systems that improve real-world outcomes. My technical stack includes Python, SQL, Java, PyTorch, Hugging Face, Power BI, and GCP.
Java (Programming Language)Application Programming Interfaces (APIs)Artificial IntelligenceComputer VisionAutomationBusiness IntelligenceBusiness AnalysisCloud ComputingDatabasesInformation EngineeringExtract Transform Load (ETL)Data RetrievalData VisualizationProgramming ToolsGitHub
Machine Learning and AI Development
Advanced expertise in Python, PyTorch, and AI model development with experience in multimodal datasets, image recognition, and BERT model fine-tuning for classification tasks
Data Engineering and ETL Pipeline Development
Comprehensive skills in building automated ETL pipelines, data processing with Pandas and Numpy, and integration with Google Cloud Platform and APIs for seamless data automation
Full-Stack Development and Automation
Proficient in Java, SQL, web automation with Selenium and Playwright, and dashboard development using tools like Domo for client-facing solutions
Cloud Platform Management
Experience with Google Cloud Platform, Google Colab, and cloud-based data storage solutions including Google Drive integration
Business Intelligence Tools
Skilled in Power BI, Matplotlib for data visualization, and dashboard generation for business analytics
Database Technologies
Proficient in SQL and PostgreSQL for database management and troubleshooting
Version Control and Development Tools
Experienced with GitHub for code management and collaborative development workflows
API Integration and Development
Knowledge of API development and integration including Google Sheets, Drive APIs, and Gemini API for automated data retrieval
Advanced expertise in Python, PyTorch, and AI model development with experience in multimodal datasets, image recognition, and BERT model fine-tuning for classification tasks
Data Engineering and ETL Pipeline Development
Comprehensive skills in building automated ETL pipelines, data processing with Pandas and Numpy, and integration with Google Cloud Platform and APIs for seamless data automation
Full-Stack Development and Automation
Proficient in Java, SQL, web automation with Selenium and Playwright, and dashboard development using tools like Domo for client-facing solutions
Cloud Platform Management
Experience with Google Cloud Platform, Google Colab, and cloud-based data storage solutions including Google Drive integration
Business Intelligence Tools
Skilled in Power BI, Matplotlib for data visualization, and dashboard generation for business analytics
Database Technologies
Proficient in SQL and PostgreSQL for database management and troubleshooting
Version Control and Development Tools
Experienced with GitHub for code management and collaborative development workflows
API Integration and Development
Knowledge of API development and integration including Google Sheets, Drive APIs, and Gemini API for automated data retrieval
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishNative speakerSpanishFluent
Project history
Designed and evaluated tasks to improve AI model reasoning and reliability across multimodal datasets. Debugged and analyzed model outputs to identify failure patterns and refine performance. Contributed to AI projects involving image recognition and PostgreSQL troubleshooting. Maintained a 4.9/5 performance rating for task accuracy and quality.
Designed machine learning models for document classification, improving efficiency of data processing by 33%. Built automation bots to streamline dashboard generation in Domo, saving 25 minutes per new client onboarding. Used Domo for maintaining client facing dashboards and evaluating client usage metrics. Designed ETL pipelines for continuous data capture, cleaning, and update validation. Collaborated with senior engineers for enterprise level deployment.
Used common core standards and evidence based teaching, achieving above average teaching evaluations. Assisted students and staff with ethical AI solutions. Implemented AAPPL exam for national recognition, achieving results above that of the national average for first year students.