Krystaleah Anderson

Experienced Software Engineer with 3 years experience in Full Stack Development, 12 years in Java, and Machine Learning. With a Master of Management in AI and a Bachelor of Commerce in IT specializing in e-Commerce Development, I am uniquely positioned to develop solutions along the entire data pipeline.

SourcingHaus Research & Consulting Group (Client: WHO) 

Toronto, ON 

Software Engineering Consultant | Digital Transformation Specialist – Sustainability 

Oct 2023 – Present

 • Generated $300K in potential annual revenue by developing a full-stack Python sustainability assessment tool using Streamlit, Pandas, and algorithmic digitization of emissions logic; adapted quickly to evolving client requirements and communicated design decisions to non-technical stakeholders.
• Pioneered secure deployment practices at the company by launching a cloud-based app on AWS EC2, configuring security groups, managing environments via VS Code, using Git for version control, and integrating AWS Secrets Manager for secure API key handling—enhancing global accessibility and tool reliability.

Deloitte Ltd. (Client: Scotiabank) 

Toronto, ON 

AI Software Engineering Consultant 

Jan 2022 – Oct 2022

 • Scaled product reach from 90K to 500K users and achieved 100% partner satisfaction by leading a 4person team in a scrum full stack project to build an AI impact tool using Vue.js, C#.NET, and MySQL, while managing full lifecycle delivery and solving architectural challenges.
• Improved user experience by 10% by re-engineering a lengthy AI tool’s UI using Figma, Groovy, and Java, overcoming platform limitations through creative front-end problem-solving.

• Created company-wide guidelines to mitigate AI bias to ensure fairness and accuracy for public sector decision-support systems by evaluating fairness metrics like Individual Fairness and Equalized Odds and addressing the impact of false positives and negatives in domains like immigration and judiciary.
 

York University 

Toronto, ON 

Product Designer/ Developer

May 2021 – Sep 2021

 • Boosted Moodle UI satisfaction by 25% by designing and developing responsive interfaces using HTML, CSS, JavaScript, PHP, Rest APIs, and Mustache Templates; created wireframes, prototypes, and collaborated with backend teams for seamless integration.

IBM (Client: York University) 

Toronto, ON 

AI Software Developer Consultant 

May 2020 – May 2021

 • Reduced IT support tickets by 20% for 50,000 students by deploying an AI chatbot using IBM Watson Assistant by collaborating with SMEs, including training new intents/entities, designing conversation flows, and conducting QA testing.

 • Decreased dropout rates by 5% through creating student and professor dashboards by collaborating with Data Scientists to refine data pipelines, UI design, and performing sentiment analysis on JSON student forum data using Watson.

Ontario Teachers’ Pension Plan 

Toronto, ON 

Systems Analyst Intern 

Sep 2019 – Jan 2020

 • Achieved 97% project fulfillment rate by organizing and tracking the distribution of 1,000+ upgrade bags
using Excel, optimizing logistics within tight time constraints.
• Completed digital transformation with 98% scope accuracy by imaging devices with Windows 7/10,
deploying software, and training users on new desktop/laptop setups.
• Improved support resolution times and customer satisfaction by managing ServiceNow queues, delivering
multi-channel tech support, and maintaining AV equipment for meeting rooms.

Schulich School of Business, York University , Toronto, ON 

Master of Management in Artificial Intelligence 

Jun 2024 

Relevant Projects:
• Prototyped a product demo for "QuickDesk," an IT customer support solution, by fine-tuning the LLaVA model with annotated multimodal datasets of error codes and resolutions. Developed a custom data pipeline, adapted the vision encoder for ITspecific inputs, and applied instruction tuning to enhance the model’s troubleshooting capabilities for domain-specific tasks. • Implemented an AI-powered feature for Netflix, enhancing user engagement through community rooms for live streaming. Conducted exploratory data analysis on user demographics and viewing habits, utilizing clustering algorithms (t-SNE, DBSCAN, K-Means with PCA) to identify user segments. Addressed ethical concerns related to data privacy and user security while demonstrating strong analytical skills with scikit-learn, pandas, matplotlib, and seaborn.

York University, Toronto, ON 

Bachelor of Commerce, Specialized Honours in IT – eCommerce Development 

Jun 2023