About Me
AI Developer passionate about building intelligent solutions that solve real-world problems
Who I Am
I'm an AI Developer with a passion for creating intelligent systems that make a real impact. Currently pursuing my Bachelor of Science in Computer Science at Wilfrid Laurier University, I've worked on cutting-edge AI projects that have improved efficiency, accuracy, and user experience across various industries.
From building transformer-based LLM systems to developing machine learning models for clinical decision-making, I thrive on solving complex problems with innovative AI solutions.
What I Do
AI Development
Building intelligent systems with LLMs, transformers, and deep learning models
Full-Stack Development
Creating end-to-end solutions with modern frameworks and APIs
Research & Innovation
Contributing to academic research and presenting findings at conferences
Skills
Languages
Frameworks
Libraries & Tools
Published Research
Contributing to AI research in healthcare and clinical applications
Improving Patient-Clinical Trial Matching Using Convolution Neural Networks
Yousif Salman, Emad Mohammed, and Cassandra Hui • The 38th Canadian Conference on Artificial Intelligence (CAIAC 2025) • 2025
Developed a neuro-symbolic AI approach combining fine-tuned LLMs with symbolic reasoning to improve patient-clinical trial matching. The method enhances interpretability and accuracy by validating LLM and cosine similarity outputs through additional layers of symbolic reasoning, providing more reliable and transparent trial-matching results.
Read PaperEvaluating Missing Data Imputation Methods for Esophageal Cancer Quality of Life Research
Yousif Salman et al. • medRxiv • 2025
Comprehensive evaluation of seven imputation methods for handling missing data in esophageal cancer patient-reported outcomes. Compared methods including MICE, VAE, DAE, BPCA, deep autoencoders, SoftImpute, and KNN across multiple validation metrics to provide evidence-based recommendations for quality-of-life research.
Read PaperWork Experience
Building AI solutions that make a real impact
AI Software Developer
- •Engineered an AI system using transformer-based LLMs with embedding-based similarity scoring, automating job description creation and evaluation for over 3,000 roles.
- •Built custom conversational AI tools with FastAPI and LangChain, enabling natural, iterative refinement of job descriptions and streamlining HR collaboration.
- •Developed automated scoring and SHAP-inspired explainability modules with rule-based logic, improving fairness and transparency while increasing reviewer satisfaction by 25% and achieving 90% reviewer agreement.
- •Optimized model performance and integrated the system into Laulima's HR workflow, cutting review time by 40% and boosting classification accuracy by 15%.
Coding & Math Instructor
- •Integrated three new AI and real-world application modules from scratch, seamlessly integrating them into the existing computer science curriculum.
- •Tracked student performance across coding and interdisciplinary projects, providing targeted feedback that led to an average score improvement of 20%.
AI Developer & Research Assistant
- •Developed machine learning models for missing data imputation, increasing data completeness by 45% and improving stability across timepoints, by combining statistical baselines with deep learning methods.
- •Enhanced clinical decision-making accuracy, reducing prediction error on key outcomes by 18%, by building an end-to-end system that integrated imputation pipelines with predictive analytics.
- •Improved real-world usability for clinical teams, shortening analysis workflows by 30%, by creating a user-friendly interface and validating outputs through multi-site clinician feedback.
AI Developer
- •Led the development of an AI model that matched patients to clinical studies, achieving a 92% reduction in recruitment time through automated eligibility screening.
- •Built the full end-to-end pipeline including data preprocessing, model architecture, and deployment, improving matching accuracy by 6% compared to traditional recruitment methods.
- •Presented a research paper at a top Canadian AI conference, sharing insights on intelligent patient–study matching with over 100 attendees.
Education
Building a strong foundation in computer science
Bachelor of Science, Computer Science (Co-op)
Pursuing a comprehensive computer science degree with a focus on artificial intelligence, machine learning, and software engineering. The co-op program has provided valuable real-world experience in AI development and research.
Get In Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.