Skills
AI: Machine Learning: Classification, Regression, Clustering; Algorithms: Random Forest, Decision Tree, SVM, Naive Bayes, k-NN, Logistic/Linear/Polynomial Regression, k-Means; Deep Learning: cNN, rNN, LSTM, Transformers; Reinforcement Learning : QLearning, SARSA; NLP: LLM, RAG, Sentiment Analysis, GPT, BERT, RoBERTa, VADER.
Data Science: EDA, Web Scraping, Data Mining, Probabilities Theory, Algebra, Data visualization/ pre-processing/ manipulation,Statistics.
Data Ops & SGBD: PySpark, Hadoop, MySQL, MariaDB, SQLite.
Prog. & Scripting: Python, R, SQL, Java, C++, C, Bash, Scripts Shell.
Tools/Platforms: Git, Jupyter, MLFlow, Power BI, Docker, Kubernetes, AWS, Gradio, Nbdev, Grafana, Prometheus, HuggingFace.
Environments: Linux/Unix, Windows, Jira, Gerrit, R Studio, Grafana, Prometheus, CI/CD, VMOracle, Confluence, TPU/GPU. Methods: Agile
About
Engineer specialized in AI and Data, I design and deploy innovative solutions. With hands-on experience in various Computer Vision and Data Science projects, as well as professional experience in an international context at Criteo, I am ready to take on new challenges abroad.
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