CV
Summary
PhD in Computer Science and Applied Mathematics. Expertise in designing machine learning and optimization systems, building discrete-event simulators, and deploying reproducible ML pipelines. Eager to apply advanced research expertise in data science and AI/ML engineering, delivering practical solutions that drive positive impacts while continuing to grow alongside the team.
Experience
Université Paris-Saclay/UVSQ Versailles
AI Research Engineer | Dec 2025–Jun 2026
- Designed and implemented a non-euclidean optimizer for non-smooth optimization problems called MELMO. The work has been submitted for publication in a top-tier journal.
- Research on the integration of ML methods in metaheuristics to solve combinatorial optimization problems.
Université Paris-Saclay/UVSQ Versailles
Doctoral Researcher | Sep 2022–Nov 2025
- Designed and implemented a delivery fleet simulator for vehicle routing with emission constraints.
- Developed and evaluated hybrid methods combining OR heuristics and reinforcement learning.
- Built reproducible Python pipelines with visualization and experiment tracking.
- Assisted teaching in CS courses; mentored students on Python and algorithms.
RTE Paris
Research Intern | Apr–Sep 2022
- Prototyped multi-agent reinforcement learning approaches for real-time power grid control.
- Collaborated with research engineers to define environments, metrics, and baselines.
ENSAE Paris
Research Intern | Apr–Jul 2021
- Studied multi-agent reinforcement learning policies in modeled labor markets with game-theoretic structure.
Education
Université Paris-Saclay Versailles
PhD, Computer Science & Mathematics | 2022–2025
Subject: Algorithms hybridizing AI and OR for supply-chain impact management
Supervisors: Prof. Dominique Barth and Dr. Yann Strozecki
Université Paris-Saclay Orsay
Master, Mathematics and Artificial Intelligence | 2020–2022
Université Paris-Saclay Orsay
Bachelor, Mathematics and Computer Science | 2017–2020
Skills
Programming
Python (PyTorch, JAX, scikit-learn, visualization), Julia, C/C++, SQL, git
Machine Learning
Reinforcement learning, Supervised learning, NLP/LLM, RAG
Optimization
Mathematical optimization, Operations Research, Metaheuristics
Computer Science
Algorithms, Data structures, Parallel computing, Databases, Cloud computing (AWS, GCP basics)
Languages
Persian (Native), French (Bilingual), English (Bilingual), Chinese (HSK3: Basic), Spanish (Basic)