Online Resume

• Started my freelance business specializing in AI and software development, supported by the Conestoga Entrepreneurship Collective's Gig Lab, a business incubator for independent professionals.

• Development of Educational Chatbot Service: Developed a chatbot using RAG (Retrieval-Augmented Generation) to provide intelligent responses based on embedded course materials. Built a reliable Python-based backend and a responsive React frontend to ensure smooth and interactive user experience.
• Sensor Data Integration and Real-Time Visualization in XR: Integrated sensor data into an XR dashboard using InfluxDB, Grafana, and Tilt Five for real-time monitoring and analysis.

• Sensor Data Processing and ML Model Development: Processed manufacturing sensor data and built ML models to detect anomalies and solve automotive production issues.

• Speech Recognition Solution Integration and Development: Developed middleware for speech recognition, handling voice data acquisition, signal preprocessing, and embedded ASR for challenging environments. Integrated the solution into embedded systems and improved accuracy, speed, and noise robustness through extensive testing and optimization.

• AI-powered assistant provides instant, accurate answers to supply chain inquiries.
• Reduces repetitive questions and fosters organizational learning.
• Request a private demo to see it in action.

• AI-powered cooking assistant using RAG for recipe recommendations and ingredient substitutions.
• Provides intelligent cooking guidance and meal planning suggestions.
• Built with Python and Streamlit with periodic data collection via web scraping.
• Integrated web scraping for dynamic recipe and ingredient data extraction.

• AI-powered chatbot designed to support student learning by answering course-related questions.
• Implemented Retrieval-Augmented Generation (RAG) and memory-based conversation features.
• Developed at CVRI Conestoga College as an MVP to help students with academic inquiries.
• Built with Python FastAPI backend and React frontend with PostgreSQL database.

• Designed and implemented a user-friendly web application for efficient customer ordering.
• Implemented features to capture essential customer information and generate detailed invoices.
• Full-stack development with Node.js backend and MongoDB database deployed on AWS EC2.

• Comprehensive application for managing clinical encounter notes with CRUD operations.
• Features for creating, editing, and storing patient records in Azure SQL database.
• Implemented data validation using Regex and secure database connections.
• Built with C# WinForms for intuitive desktop user interface.

Eunheui Jo, 2019

Eunheui Jo, 2014