Youssuf Hichri

Education

Carleton University Expected June 2026

B.Sc. (Honours) in Computer Science

AWS Certified Solutions Architect – Associate Expected November 2025

Amazon Web Services (AWS)

Software Developer Co-op September 2022 – December 2024

Canada Revenue Agency (CRA), Ottawa, ON

Designed and optimized SQL queries for efficient data retrieval and reporting across multiple database systems, improving data processing speed and accuracy
Built and maintained enterprise applications using Apache Struts, Java Spring Framework, JavaScript, and the WET toolkit, integrating front-end components with backend services
Authored comprehensive user stories and acceptance criteria in JIRA for key features, facilitating clear communication between business and development teams
Collaborated with Business Analysts to transform design wireframes into functional prototypes, showcasing work in routine meetings and incorporating feedback and criticism to ensure alignment with business requirements
Developed an admin reporting portal using Struts, Spring Boot and JavaScript, allowing users to execute predefined PostgreSQL queries and export results to Excel, significantly improving data accessibility

Cloud Resume Challenge | GitHub

Designed and deployed a serverless resume website using AWS services (S3, CloudFront, Lambda, API Gateway, DynamoDB) with custom domain and HTTPS, implementing infrastructure as code principles
Developed Python-based REST API backend with unit tests achieving 100% code coverage, implementing atomic operations for visitor tracking with DynamoDB
Automated deployment workflows using GitHub Actions CI/CD pipelines, including pytest execution, Lambda function updates, S3 synchronization, and CloudFront invalidation

Sarcasm Detection System | GitHub

Developed an ensemble deep learning system using LSTM, Attention, and Transformer architectures for sarcasm detection in articles
Implemented data preprocessing pipeline and custom data generators for efficient batch processing
Achieved 85% accuracy through model ensemble techniques and comprehensive hyperparameter optimization
Created visualization tools for model performance analysis using matplotlib and seaborn
Built modular architecture supporting easy integration of new model architectures

Feynman.AI | Github

Developed an AI-powered educational platform using Next.js, React, and TailwindCSS, integrating GROQ API for real-time feedback
Implemented audio processing features using Web Audio API and Whisper Large v3 for transcription
Led frontend development in a team of 4, focusing on responsive design and real-time user interaction
Architected state management system using React Hooks for seamless user experience

Quest Card Game | Github

Developed RESTful API backend using Spring Boot for a multi-player card game, following TDD methodology
Implemented comprehensive unit tests using JUnit 5 and Mockito, achieving 90% code coverage
Created Spring Boot service layer with mockable dependencies, enabling isolated testing of complex game scenarios
Designed RESTful endpoints for game state management and player interactions