Adrian Manchado

About Adrian Manchado

I’m a Computer Science student at MSOE (B.S. ’26, M.S. Machine Learning) passionate about building AI-driven solutions that make a real impact. My experience spans applied AI, software development, and entrepreneurship, with hands-on projects ranging from developing recommender systems and computer vision pipelines to deploying full-stack applications in production environments.Currently, I’m an Applied AI Intern at Direct Supply, where I’ve designed and led projects that save thousands of hours for teams and bring cutting-edge AI into senior care operations. Previously, I worked as a Software Development Intern at New World Now, improving compliance tools used nationwide.Beyond the classroom and internships, I lead as captain of the MSOE NCAA Men’s Soccer Team and mentor peers through the AI Club, balancing academics, athletics, and research. My work has been recognized through awards such as being a finalist in the NVIDIA ROSIE Supercomputer Challenge and contributing to MSOE’s first NACC soccer championship in a decade.I’m especially interested in computer vision, reinforcement learning, and data science, and I thrive at the intersection of technology, teamwork, and entrepreneurship. My goal is to use AI to solve meaningful problems and create technology that improves lives.Let’s connect if you’re interested in AI, entrepreneurship, or building innovative tech solutions.

Experience

1. Applied Ai Intern

   Direct Supply

   Jan 2025 — Present · Милуоки, WI, US

   Project: Fabrics.AI - Real-Time Fabric Management System• Architected and deployed an AI-powered React application that revolutionized the design team\'s workflow, independently managing the full software development lifecycle (SDLC).• Engineered a robust data pipeline using AWS, S3, and Databricks. Implemented automated web scraping via Selenium to populate the database.• Integrated Generative AI by leveraging OpenAI image embeddings for visual recommendations and ChatGPT for automated fabric classification.Key Impact: Saved hours annually for the design team, supporting 20+ active users and managing a scalable API with fabric records.Project: Maintenance Staff Training Platform• Developed an IoT-enabled training ecosystem integrating React, AWS, ESP32 sensors, and Flask to streamline onboarding for senior care facility staff.• Implemented RAG (Retrieval-Augmented Generation) by connecting real-time sensor data with Fix.AI’s model via APIs, delivering AI-driven troubleshooting guidance through interactive facility maps.Key Impact: Drastically reduced training ramp-up time and improved operational efficiency through automated, real-time issue detection.Leadership: Intern Advisory Board - Community Impact Lead• Orchestrated networking, professional development, and social programming for a cohort of 100+ interns.• Coordinated 5 strategic volunteer events with senior care facilities, mobilizing 40+ interns to strengthen community partnerships and gather direct customer feedback.

Education

• Milwaukee School of Engineering

  Bachelor's of Science, Computer Science

• Colegio El Caton, Madrid, Spain

  Highschool

• Cardinal Stritch University

  Bachelor of Science - BS, Computer Science