Mathematical foundations. Real-world AI engineering.
My skills span two worlds: the rigorous mathematical theory behind intelligent systems, and the practical engineering to bring those systems to production. Targeting a PFE internship in Data/ML/AI starting February 2027.
∑Mathematics & Theory
Mathematical AnalysisLinear Algebra & Numerical MethodsProbability TheoryStochastic Analysis (Finance)Integral Equations (Stochastic)Markov ChainsFractal Structures & Digital EngineeringOptimization & Decision TheoryInferential StatisticsDeterministic & Stochastic ModelingTopologyCryptography & Quantum CryptographyQuantum Computing MathematicsMathematical Finance
🧠Machine Learning & AI
Scikit-learnPyTorchTensorFlow / KerasTime Series AnalysisAnomaly DetectionDeep LearningStatistical LearningNLP (intro)
📊Data Engineering
PythonPandas & NumPyMatplotlib & SeabornSQLData WranglingSignal ProcessingETL PipelinesMongoDB
⚙️MLOps & Deployment
FastAPIStreamlitDockerGit & GitHubREST APIsJupyter / Colab
💻Software Engineering
Java & Spring BootReact / Next.jsNode.jsAngularPostgreSQL
🚀 Currently Learning
Advanced Optimization AlgorithmsBayesian Deep LearningTransformer ArchitecturesMLflow / Experiment TrackingFinancial Time Series ModelingQuantum ML (intro)
Continuously expanding my toolkit toward PFE internship readiness (Feb 2027).