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AI Engineer · MSc @ Télécom Paris (IP Paris) · LLMs, RAG & MLOps in production · 🏆 IndabaX 2022 · Open to internships from July 2026 🇫🇷
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom Paris — Institut Polytechnique de Paris
Data Scientist
June 29, 2026 – Present
IBM-BOB-Haackathon-submission-BOB_RAG
May 16, 2026 – Present
Public Repo for LabLab.ai IBM BOB hackathon, reverse engineering a project, building an MVP & enhancing frontend project.
View ProjectFraudguard
March 10, 2026 – Present
Production MLOps pipeline for credit card fraud detection — LightGBM, Airflow, Mlflow,Docker,Kubernetes
View Projectstock-game-correlation
February 24, 2026 – Present
Big Data pipeline correlating Steam/Twitch popularity with stock prices — Airflow,Elasticsearch,Kibana
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and applying new technologies. The diversity of projects, from MLOps to game development and RAG systems, suggests adaptability and a broad technical curiosity. The current role as a Data Scientist at Télécom Paris aligns well with the target role, indicating a focused career path. The breadth of technologies used across projects (Python, Docker, Kubernetes, Airflow, MLflow, Elasticsearch, Kibana, LightGBM, C++, Java, JavaScript) suggests a willingness to explore and master various tools, which is beneficial for cultural fit in dynamic technical environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.