Machine Learning Curriculum Development

Yanira Castaneda

+1-224-***-**** ******************@*****.*** USA (Remote)

Professional Summary

An innovative and technically skilled Artificial Intelligence Specialist with over 4 years of experience in developing machine learning models and automation workflows. Combines deep expertise in Python, TensorFlow, and cloud AI platforms with a proven passion for curriculum development and adult education. Eager to leverage industry experience to design and develop cutting-edge, applied AI training content for the AEC and manufacturing sectors at CADBIM Academy.

Technical Skills

AI & Machine Learning: Machine Learning, Deep Learning, Natural Language Processing (NLP), Predictive Modeling, AI-driven Automation

Programming & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn, Open AI API, LangChain

Cloud & Tools: Google AI Platform, Azure AI Services, Docker, Git

AEC Software Integration: Familiarity with Revit and AutoCAD APIs for automation workflows

Instructional Design: Curriculum Development, Lesson Planning, Project-Based Learning, Assessment Creation, LMS (Moodle, Canvas)

Data Analysis: Pandas, NumPy, SQL, Data Visualization Professional Experience

AI Solutions Developer

Synergetic Engineering Solutions, Chicago, IL June 2020 – Present

Designed and implemented machine learning models to optimize building energy consumption and structural analysis for large-scale architectural projects.

Developed a proprietary NLP tool to automate the extraction of project specifications and requirements from architectural briefs and contracts, reducing manual review time by 30%.

Created and documented Python scripts to automate data flow between Revit and internal analysis databases, improving data consistency and project reporting efficiency.

Led internal training workshops for engineers and architects on leveraging AI tools for data-driven decision-making, receiving a 95% satisfaction rate. Machine Learning Engineer

TechNova Data Systems, Austin, TX July 2018 – May 2020

Built, trained, and deployed deep learning models for computer vision applications in quality control for a manufacturing client.

Collaborated with a cross-functional team to integrate predictive maintenance algorithms into client IoT platforms.

Contributed to the company's internal knowledge base by developing technical documentation and tutorial videos for new AI frameworks and best practices. Curriculum Development & Teaching Experience

Freelance Technical Instructor & Content Creator

Remote January 2021 – Present

Developed a comprehensive 6-week online course, "Introduction to AI for Architects," covering Python scripting, data automation, and generative design concepts.

Created over 50 video tutorials, hands-on coding labs, and real-world case studies, attracting over 10,000 enrollees globally.

Designed and built practical assessments and final projects that required students to apply AI concepts to solve simulated AEC industry challenges. Education

Master of Science in Computer Science, Specialization in Machine Learning

*Stanford University, Stanford, CA 2016 - 2018*

Bachelor of Science in Data Science

*University of California, Berkeley, Berkeley, CA 2012 - 2016* Projects & Portfolio

AEC Project Automation Suite: Led the development of a toolset that uses ML to classify project documents and automate Revit family placement, demonstrated in a public webinar.

Generative Design Prototype: Created a curriculum module exploring generative design algorithms for space planning, used as a capstone project in a professional upskilling program.

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