AI Engineer | Data Systems Architect | AWS Certified
I am a results-driven AI Engineer and Data Specialist bridging the gap between traditional data science and modern AI systems. My evolution from Data Science has led me to specialize in building autonomous agents, implementing Model Context Protocol (MCP), and orchestrating robust data pipelines.
I focus on creating scalable solutions that integrate:
- Advanced AI Agents: Building interactive systems using LLMs and RAG architectures.
- Data Engineering: Orchestrating workflows with Airflow, scripting in Linux/Bash, and optimizing complex SQL databases.
- System Integration: Connecting data sources with AI interfaces using Streamlit and cloud infrastructure on AWS & GCP.
Here are the tools and technologies I work with:
| AI & LLMs | Data Engineering | Core & Cloud |
|---|---|---|
| AI Agents π€ | SQL (Advanced) ποΈ | Python π |
| MCP Implementation | Apache Airflow π¬οΈ | AWS (S3, EC2, Lambda) βοΈ |
| RAG Systems | Linux/Bash π§ | Docker π³ |
| Streamlit π | Data Warehousing | Git/GitHub π |
- Description: An interactive "Data Engineering Control Plane" built with Streamlit. This project demonstrates a comprehensive integration of technical domains, allowing users to interact with SQL schemas, simulate Linux server automation, and visualize Airflow orchestration DAGs through a unified interface.
- Key Skills: Streamlit, Python, SQL Optimization, Bash Scripting, Airflow concepts.
- View Project (https://github.com/OscarTMa/AI-Agents)
- Description: Implementation of the Model Context Protocol (MCP) to standardize how AI models interact with server-side context and data. This project showcases the ability to connect LLMs securely and efficiently with external tools and datasets.
- Key Skills: Model Context Protocol, System Architecture, API Integration, Backend Development.
- View Project (https://github.com/OscarTMa/Portfolio-MCP)
- Description: A collection of advanced SQL projects demonstrating mastery over database management. Includes complex querying using Window Functions, CTEs, stored procedures, and performance tuning for large-scale data environments.
- Key Skills: Advanced SQL, Query Optimization, Database Modeling.
- View Project (https://github.com/OscarTMa/Portfolio-SQL?tab=readme-ov-file)
- Description: A curated set of five diverse Machine Learning and Artificial Intelligence projects ranging from predictive modeling to deep learning applications, solving real-world business scenarios.
- Key Skills: Scikit-learn, TensorFlow, Predictive Modeling, Data Analysis.
- View Project (https://github.com/OscarTMa/Portfolio-ML)
View Legacy Projects (EDA, A/B Testing, Time Series)
- Technologies: Python, Pandas, Matplotlib, Seaborn
- View Project
- Technologies: Python, StatsModels, Matplotlib
- View Project
- Technologies: Python, StatsModels, TensorFlow, FastAPI, Docker
- View Project
π« How to Reach Me
π§ Email: oscartibaduiza@hotmail.com
πΌ LinkedIn: linkedin.com/in/oscartibaduiza
π GitHub: github.com/OscarTMa