MSci Computer Science graduate from King's College London with First Class Honours, specializing in AI and Machine Learning! Award winner for best performance in my final year. 🏆
Currently working as a Backend Engineer/Full Stack Developer at Gamestake Technologies building gaming solutions! ✨
- Languages: JavaScript, TypeScript, Python, Java, Scala, C, C++, SQL
- Frameworks: Next.js, TensorFlow, React
- Cloud & DevOps: AWS (Lambda, ECS, EKS, DynamoDB, GameLift, Cognito, etc.), Terraform, CloudFormation, Docker, Kubernetes
- Databases: MongoDB, PostgreSQL, Redis, DynamoDB
- AI/ML: Deep Learning, NLP, Reinforcement Learning, Computer Vision
- Gamestake Technologies (2024-Present): Building gaming backends and dashboards with AWS GameLift, DynamoDB, Next.js, and serverless architecture
- AWS x Lambeth Council (2022-2023): Led backend development using AWS serverless tools and GPT models for data extraction
- Metis (Summer 2021): Machine Learning Engineer Intern working on data science projects
- Joint First-Author: "A Robustness Evaluation Framework for Argument Mining" (2022) - Built NLP tools using spaCy and WordNet to evaluate BERT and RNN models
- Game Optimiser (B2B): Backend-as-a-Service for rewarded gaming with Next.js, AWS, DynamoDB
- Steam Games' Genre Classifier: CNN model with TensorFlow & VGG-16 for classifying game genres from screenshots
- Recipe Recommender: NLP-powered app using NLTK, SpaCy, topic modeling, and Streamlit
- Steam Game Success Classifier: XGBoost model with 0.92 AUC for predicting game success
- Twitch Stats Dashboard: Data pipeline with MongoDB, Plotly and Dash
- University Course Satisfaction Predictor: ML regression models
- NYC Subway & Yankees Analysis: EDA project on transit patterns
- Email: matteoafortier@gmail.com
- LinkedIn: linkedin.com/in/matteo-fortier
- GitHub: github.com/matteofortier