Computer Science student at Concordia University in Montréal, graduating in 2028. Fluent in English and French.
What I enjoy most is going from an idea on paper to working software, debugging until it does exactly what I intended.
I'm working toward software, AI and cloud engineering: backend systems that are secure, deployed and built to scale.
I've shipped a full-stack job application tracker, a double-entry ledger API and a RAG document Q&A app. I'm looking for an internship, or a part-time junior developer role alongside my studies.
I stay in shape, play sports and love discovering new things. And if there's a new place to discover, the answer is always yes.
Ranked by AI against 2027 market expectations for a mid-level Software Engineer, AI Engineer or Cloud/DevOps Engineer, based on actual use across my projects, certificates, relevant activities and experiences. Open one to see how I've used it.
FastAPI, Spring Boot, REST APIs, JWT, Databases, Testing
52% (56%)A REST API exposes resources through predictable URLs and HTTP methods, protects them with authentication and answers with clear status codes. Behind it, a normalized schema, migrations and connection pooling keep the data reliable as the app grows, and automated tests catch regressions before they ship.
Built the job tracker's 40-endpoint FastAPI backend, layered into routers and services and protected with JWT, on PostgreSQL with numbered SQL migrations and a psycopg2 connection pool, covered by 114 pytest integration tests. It runs live behind the demo. In the ledger API (Spring Boot, PostgreSQL) I used transactions, row locks, constraints and triggers, covered by 52 Testcontainers tests. Also used MySQL through JDBC in the grade manager, backed by the Databases course and IBM's SQL certificate.
RAG, Embeddings, Vector search, Prompt engineering
32% (36%)Retrieval-augmented generation grounds a model's answer in real documents: text is split into chunks, turned into vectors (embeddings) and ranked by similarity to the question.
Built the RAG system twice: first every step from scratch (chunking, hashing-based embeddings, top-k cosine similarity) to understand it, then rebuilt it on LlamaIndex, MiniLM embeddings, a persistent Chroma index and Claude through LangChain, in a Streamlit app that shows the sources behind each answer. Probability and Statistics covers the math behind the scores, and the Prompt Engineering certificate the model side. Currently working on IBM's AI Developer certificate.
AWS, Cloud deployment
20% (28%)Cloud platforms rent computing, storage and databases on demand, with security split between the provider and the customer (the shared responsibility model).
AWS Cloud Practitioner Essentials covered core services (EC2, S3, IAM) and pricing. The job tracker is deployed and live on a cloud host.
Authentication, Authorization, Idempotency, Concurrency control, Connection pooling
32% (36%)System design decides how components connect: where requests enter, how identity and permissions are checked, how data is stored and how the system copes with more users.
In the job tracker, requests enter through FastAPI routers grouped by resource. Authentication (JWT sign-in) confirms who the user is, and authorization checks they only reach their own applications. A pooled connection layer links the API to PostgreSQL, and Docker Compose runs the services together. In the ledger API, idempotency keys make a retried payment post only once, and accounts are locked in a fixed order so concurrent transfers can neither overdraw an account nor deadlock. Still learning: caching and load balancing at scale.
Git, GitHub, Docker, CI/CD, Command line
40% (44%)Version control keeps every change traceable and reversible. Containers and CI/CD make builds reproducible and deployments automatic.
Git and GitHub on every project, backed by Meta's Version Control certificate. Containerized the job tracker with Docker Compose and deploy it through a GitHub Actions pipeline. The ledger API runs its 52 tests in GitHub Actions on every push, with Testcontainers starting a real PostgreSQL.
HTML, CSS, JavaScript, React basics
28% (36%)Semantic HTML, responsive CSS and component-based interfaces keep a site accessible on any screen and easy to maintain.
Learned the foundations in Web Programming (HTML, CSS, JavaScript). Built the job tracker's React frontend, and this portfolio in plain HTML, CSS and JavaScript, including the English/French toggle and these expandable rows. Currently completing Meta's React Basics certificate.
OOP, Data structures, Algorithms, Big-O, Computer hardware
44% (48%)Choosing the right data structure, and knowing its cost in Big-O terms, decides whether code stays fast as data grows. Object-oriented design keeps larger programs organized through encapsulation and clear interfaces.
Studied OOP and data structures and algorithms in Java, and how the CPU and memory run code in System Hardware. Applied them in the RAG system (hashing for embeddings, top-k ranking over vectors) and in the class design of the grade manager.