Profile
Computer engineer graduated from the National School of Computer Science (ENSI), specialized in Artificial Intelligence, Natural Language Processing, and Generative AI. I combine hands-on machine learning expertise with solid software engineering practices, allowing me to take a project from research and experimentation all the way to a reliable, deployable product.
Experience
Throughout my internships, I have worked across the full spectrum of applied AI and software development:
- Built an AI-powered visual search feature for a large e-commerce platform, retrieving products from a single photo using cosine similarity over DINOv2 embeddings
- Developed core front-end features for a composable e-commerce architecture, including the homepage, navigation, and custom landing pages
- Integrated a headless CMS to give business teams full autonomy over content management, reducing dependency on developers
- Designed a multi-agent system for information systems management, coordinating five specialized agents through an orchestrator, using MCP servers for inter-agent communication and LangGraph for workflow orchestration
- Built and compared six machine learning models for bank credit scoring, achieving 87.5 percent accuracy with a deep learning approach through careful cross-validation and hyperparameter tuning
Technical Skills
- Languages: Python, Java, C, C++, SQL
- Machine Learning & AI: PyTorch, Scikit-learn, Transformers, Deep Learning, LLM Fine-tuning, PEFT/LoRA
- Generative AI: RAG architectures, Multi-agent systems, Prompt Engineering, LangChain, LangGraph
- Web & Data: React.js, Pandas, NumPy, ETL pipelines, MongoDB, MySQL
- Vector Databases: ChromaDB, Pinecone
- Tools: Git, GitHub, Jupyter
What I Bring
I am comfortable moving between research-oriented work and production engineering. I enjoy turning ambiguous business problems into clear technical solutions, and I am equally at ease fine-tuning a language model, designing a retrieval pipeline, or building the interface that puts it in front of users. I am rigorous, curious about new technologies, and motivated by projects with measurable, real-world impact.
I am currently open to new opportunities and available to relocate.