This year, I obtained my three-year Computer Science diploma from Sorbonne Université. I then joined ESGI Paris to pursue a work-study program as part of my Master’s degree in Cybersecurity. I am currently working as a Cybersecurity Governance & Risk Analyst at BNP Paribas in Paris.

My interests include cloud computing, cybersecurity, and the application of AI to security. I have over five years of experience tutoring math and physics and remain passionate about sharing knowledge and promoting science education.

Worked on web and mobile app projects. Currently going all in on cybersecurity and AI applied to the cybersecurity field.

AI Engineering & Data Systems | BNP Paribas | MSc Data Science at Université Paris-Saclay

Computer science Finance

Multi-Agent Orchestration Frameworks: Engineering decentralized autonomous workflows using specialized LLM swarms to automate complex, multi-step reasoning tasks. Self-Evolving Agentic RAG: Researching recursive retrieval-augmented generation pipelines that self-correct and optimize their own vector-store indexing for zero-latency inference. Cross-Modal Labor Automation: Architecting vision-language models (VLMs) to translate unstructured physical-world data into executable CLI-based automatio

André Martins – Étudiant en cybersécurité (ESGI) & analyste Risk IT (BNP). Rust, asm x86/MIPS, Python (IA/RAG/FAISS), traitement du signal image & audio.

Cybersecurity, IT risk, Penetration testing, Vulnerability assessment, Incident response / Security operations (SOC), Rust, x86/MIPS assembly, Python (AI / RAG / FAISS), RAG & FAISS-based retrieval, Image signal processing, Audio signal processing

Projects: RAG/FAISS pipeline — Python prototype for semantic search, vector indexing and LLM retrieval. Rust & x86/MIPS assembly modules — performance/low‑level tooling and exploit/firmware analysis. Image & audio signal‑processing prototypes — feature extraction, denoising and classification in Python. IT Risk at BNP — automating vulnerability assessments, SOC/IR workflow integrations and risk reporting.

Youssef Mir is a student and researcher based in Orsay, France, currently affiliated with Université Paris‑Saclay. With a focus on bioinformatics, data science, and computer science, he is deepening his expertise through both academic coursework and hands‑on research at the university. Over the past year, Youssef has been developing his technical skills and contributing to projects that bridge computational methods and biological data, positioning himself at the intersection of these rapidly evolving fields. He maintains an active professional presence on LinkedIn, where he connects with peers and showcases his growing experience in the scientific community.

Bioinformatics, Data science, Machine learning prototyping, Data analysis, Climate/precipitation analysis (Kerala), Pollination ecology studies, Data visualization, Reproducible Jupyter Notebook projects, Front-end web development (TypeScript/React, Vite, Tailwind CSS)

Projects: Precipitation analysis (Kerala) — Python, Pandas, Jupyter Notebooks for time‑series analysis and visualizations; Airline ticket price prediction — ML prototyping with scikit‑learn, feature engineering and model evaluation; Pollination studies (Pyrenees) — bioinformatics/data analysis, NumPy and plotting; MIAGE‑style forum web app — TypeScript, React, Vite, Tailwind CSS and shadcn‑ui frontend.

Third year Computer Science student at Sorbonne University

IA and Cybersecurity