Ilyan O.

Compétences

• Deep Learning5/5
• Python4/5
• Rust4/5
• Machine Learning4/5
• LLM4/5
• PyTorch4/5
• Documentation4/5
• React3/5
• TypeScript3/5
• Linux3/5
• SQL3/5
• Pandas3/5
• scikit-learn3/5
• C++3/5
• Git3/5
• Matlab3/5

Expériences

1. Customer segmentation on electricity load curves

   2025 — 2026

   ESIEE Paris — applied to the Enedis / EDF R&D DeepCourboGen use case Built the full unsupervised pipeline on half-hourly residential load curves: cleaning, temporal aggregation, then ~20 behavioural features per delivery point (activity rate, active/inactive run lengths, weekday vs weekend use, seasonal contrast, consumption level and variability).

2. Crowd counting with deep learning

   2025 — 2026

   ESIEE Paris — Deep Learning course End-to-end PyTorch pipeline estimating crowd density maps and counts on the ShanghaiTech dataset; CSRNet trained with transfer learning, evaluated with MAE / RMSE.

   • Deep Learning
   • PyTorch

3. Reinforcement learning & signal processing

   2025 — 2026

   ESIEE Paris — coursework Value iteration, Q-learning and approximate Q-learning agents; stationarity, noise characterisation and Wiener filtering on noisy audio signals. TECHNICAL SKILLS

4. Engineering degree (MSc level

   2024 — present

   ESIEE Paris — Université Gustave Eiffel Machine learning, deep learning, data science, signal processing, cybersecurity.

   • Machine Learning
   • Deep Learning

5. Preparatory classes for French engineering schools (CPGE PCSI → PSI

   2022 — 2024

   Lycée Pierre-Gilles de Gennes — ENCPB, Paris LANGUAGES & ACTIVITIES Languages: French (native) · English (advanced, TOEIC 885) · Japanese (beginner)

6. Association: Kartel ESIEE, motorsport club

   2024 — present