Dean's List Scholar • 3rd Year CS @ UofT • 3.7 GPA
mondher.izemrane@mail.utoronto.ca
Third-year CS student with end-to-end ML consulting experience at DeepPixel and creator of FightSight, a UFC prediction platform featuring custom-built machine learning models. Proficient in Python, Flask, React, Docker, and cloud deployments.
Here are some of my recent projects and professional experiences
Achieved 72% model accuracy by training machine learning models on engineered UFC fighter statistics using scikit-learn and advanced feature selection pipelines
Built a secure, tiered-access interface with Next.js and Supabase, restricting AI predictions to authenticated users and enhancing engagement with interactive data visualization
Deployed cost-optimized containerized microservices with Docker and Vercel, enabling scalable updates without backend downtime
Developed an educational Generative AI product for 10,000+ children, leveraging reinforcement learning and cloud-based deployment
Reduced infrastructure and inference costs by 90% through cloud pipelines and model optimization
Facilitated stakeholder interviews and workshops with over 5 clients to gather technical and business requirements
Iteratively refined over 5 RFP drafts to ensure 100% alignment with evolving stakeholder goals, improving clarity and buy-in
Provided weekly 1:1 mentorship and academic strategy sessions to 12+ first-year students, leading to measurable GPA improvement and reduced dropout risk
Analyzed program feedback from 30+ participants to identify support gaps, contributing to updated coaching materials and improved session relevance
Increased student confidence by 50% using data-driven retention strategies, improving academic success
Built HeriTrace, an AI-powered ancestry tool that predicts surname origins with 85% accuracy and generates culturally themed images using Stable Diffusion
Implemented an interactive location map to capture user context and refine heritage predictions, improving relevance of results and user engagement
Developed a responsive React + Vite frontend, integrating with backend APIs to deliver seamless input flows and dynamic result displays
Designed and delivered technical workshops on BioPython and BLAST, creating custom datasets and code labs to teach bioinformatics workflows to 50+ students
Coordinated technical details with cross-functional teams to align coding events, speaker panels, and competitions with departmental schedules
Ensured smooth execution and strong student turnout for all technical programming initiatives
Led client discovery sessions to gather detailed requirements and iteratively deliver 3 customized web prototypes, achieving 90% satisfaction on final implementation
Improved search experience and data accuracy by implementing a dynamic live search bar, reducing redundancy and boosting frontend performance
Designed and normalized SQL database schemas to support efficient CRUD operations, streamlining meal option creation, editing, and updates
Professional certifications and achievements
Download my resume to learn more about my experience and qualifications