I'm a Data Engineer and Machine Learning Architect with a passion for leading teams to build scalable, innovative solutions. Currently leading development on open-source projects at Atlas School, I specialize in designing and implementing sophisticated data pipelines and machine learning systems. With extensive experience in both educational technology and business intelligence, I focus on creating tools that make complex technologies accessible to users of all skill levels.
My expertise spans across modern cloud architecture, machine learning operations, and distributed systems. I'm particularly interested in projects that combine technology with advanced analytics to create business solutions.
TechEd Pipeline | An open-source LMS designed specifically for IT education, featuring personalized learning paths and real-time analytics. |
TechEd Pipeline is an innovative, open-source Learning Management System (LMS) designed specifically for IT education. It combines a user-friendly interface with powerful backend analytics to create a comprehensive platform for teaching and learning technology skills. The system integrates course content delivery, hands-on coding exercises, and real-time performance tracking, leveraging machine learning algorithms to personalize learning paths and identify areas where students may need additional support. |
Check out the TechEd Pipeline README file |
PredictFlow | Business Intelligence platform with advanced predictive analytics capabilities and no-code ML model deployment. |
PredictFlow is an innovative, open-source Business Intelligence (BI) and Predictive Analytics platform designed to empower businesses with data-driven decision-making capabilities. It seamlessly integrates data from various sources, provides intuitive data visualization tools, and leverages machine learning algorithms to forecast trends and identify potential business opportunities or risks. PredictFlow stands out with its user-friendly interface that allows non-technical users to perform complex data analysis and generate predictive models without extensive coding knowledge. |
Check out the PredictFlow README file |
EcoTrack | IoT-based environmental monitoring system with real-time data collection and advanced anomaly detection. |
EcoTrack is a comprehensive IoT-based environmental monitoring system designed to collect, analyze, and visualize real-time environmental data from distributed sensor networks. The platform enables organizations to monitor air quality, temperature, humidity, and other environmental metrics across multiple locations, providing actionable insights for sustainability initiatives. What sets EcoTrack apart is its modular architecture that allows for easy integration of new sensor types and its advanced anomaly detection system that can identify environmental issues before they become critical problems. |
Check out the EcoTrack README file |