I am a Data Scientist working at the intersection of machine learning, applied mathematics, and decision systems.
My focus is on building data-driven systems that support real-world decision-making, combining tools from applied mathematics, machine learning, and operations research to turn complex data into actionable insight.
While my background includes research in deep learning and advanced AI methodologies, my current work is primarily centered on the parts of data science that directly influence optimization problems in decision systems and agent-based systems, where the goal is to improve efficiency, adaptability, and decision quality in real operational environments.
I am especially interested in problems where machine learning meets operational constraints, and where models must support intelligent decision-making under uncertainty.
MSc Industrial Engineering — Operations Research
Tarbiat Modares University (2022–2025)
- Thesis: Deep Learning for Echocardiography Super-Resolution
- Teaching Assistant: Deep Learning, Data Mining
BSc Applied Mathematics
University of Tehran (2017–2022)
- Focus: Optimization, Stochastic Systems, Machine Learning Foundations
- Teaching Assistant: Calculus, Differential Equations, Game Theory
| Area | Project | Tech Stack |
|---|---|---|
| 🏥 Medical AI | Lightweight GAN for medical image super-resolution | PyTorch, GANs |
| 🚗 Edge ML | IMU-based motion & behavior detection system | Signal Processing, Python |
| 📊 Optimization | Demand forecasting & decision dashboards | SQL, Power BI, Pandas |
| 🤖 RL Systems | Multi-agent reinforcement learning for energy systems | RL, MDPs |
| 💹 FinTech | Hybrid ML/RL trading system | LSTM, Reinforcement Learning |
| 🛒 Ranking | Learning-to-Rank for e-commerce search | XGBoost, LightGBM |
"The best systems are those that improve decisions under uncertainty."