Kirsten Poon, an artificial intelligence analyst based in Edmonton, has launched her official website, which outlines her technical work, project background, and key focus areas in applied AI. The site is intended to help business teams, technical staff, and collaborators understand how AI tools are developed, tested, and used in commercial and industrial settings.
With experience in building AI systems, managing cross-functional teams, and solving data-related problems, Kirsten Poon supports organizations by creating practical tools that use data to inform decisions, detect patterns, and improve workflows. Her new website presents this work in a clear, accessible format.
Website Offers a Look at AI System Design, Model Development, and AI Deployment
The website includes dedicated sections that outline how Kirsten Poon approaches AI system design. Her process starts with data and ends in deployment. She builds systems that respond to specific business needs such as identifying trends, sorting inputs, or producing real-time predictions.
Visitors to the site can learn about her work in:
AI System Design: Designing AI systems that use real data to address specific business problems, with close collaboration across teams to ensure the models fit into regular operational workflows.
Model Development and Testing: Training, tuning, and testing machine learning models with real-world data. Kirsten Poon places focus on clear evaluation methods and readiness for deployment.
Deployment at Scale: Collaborating with engineering teams to integrate AI models into production environments. These models are developed to function as part of regular business workflows.
Problem Solving with Data: Using structured approaches to apply AI to business problems, including forecasting, classification, and similar tasks that require large-scale data analysis.
Each of these topics is supported with simple explanations and short examples to help users understand what the work involves and how AI systems are used in day-to-day business situations.
The website also includes general examples of past project types, such as using AI for planning, managing large volumes of operational data, and improving quality control processes. These examples reflect the kinds of tools and systems Kirsten helps build, without sharing any client-specific details.
There is also a section covering key technical areas she works in, including supervised and unsupervised learning, model performance measurement, and decision systems based on real-time data. These are described in plain terms to support readers who may be exploring the use of AI in their teams for the first time.
In addition to outlining her services, the site includes a short background section introducing her professional experience. Based in Edmonton, she has worked with developers, data scientists, and operations teams to build scalable systems and resolve technical challenges. She leads and supports projects that require collaboration between technical and business teams.
Her approach to work focuses on defining problems clearly, building systems that perform reliably, and providing support throughout the development process. She also works with clients to handle updates after deployment and to track ongoing results.
The website includes a blog with short, topic-focused articles on subjects like preparing data, model evaluation, and maintenance planning. These articles are aimed at technical teams and decision-makers looking for structured information about AI projects.
The site is designed to be mobile-friendly and easy to navigate. Visitors can access contact details for general inquiries or project-related discussions.
The new website serves as a reference point for Kirsten Poon and her AI work, offering information for those exploring the use of AI systems in business operations.
For more information, visit: https://www.kirstenpoon.me/
Media ContactCompany Name: Kirsten PoonContact Person: Kirsten PoonEmail: Send EmailCountry: CanadaWebsite: https://www.kirstenpoon.me/
