About me
I am a data scientist at LiveTSE, where I develop automated trading systems for the Tehran Stock Market using machine learning and quantitative analysis. My work focuses on building data-driven solutions to improve financial decision-making. With a background in electrical and computer engineering, I specialize in solving complex problems using Deep Reinforcement Learning (DRL) and other AI techniques.
My research covers machine learning applications in areas like signal processing, medical imaging, bioinformatics, and communications. I am particularly interested in Large Language Models (LLMs) and chatbots, working to enhance their ability to understand and generate human-like text for real-world applications.
I am proficient in Python, MATLAB, and Mathcad, using these tools to turn theoretical concepts into practical systems.
Education
Sharif University of Technology
- M.S. in Electrical Engineering - Communication Systems, 2019-2022
- CGPA: 17.11/20 (3.7/4)
- Thesis Title: Algorithmic Trading Using Deep Reinforcement Learning
- Supervisor: Prof. Farokh Marvasti
Isfahan University of Technology
- B.S. in Electrical Engineering, 2015-2019
- CGPA: 17.77/20 (3.87/4.0)
- Final Project: Implementing Portable ECG Monitor on Arduino
- Supervisor: Prof. Behzad Nazari
Work experience
- June 2022 - Current: Data Scientist
- Arya Sarmaye Algo. Company
- LiveTSE
- Developing an “Automated Technical Analyzer” on the Tehran Stock Market
Research Interests
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Graph Neural Network
- Medical Image Analysis
- Communication Systems
- Computer Vision
- Signal Processing
- Bioinformatics
- Causal Inference
Selected Projects
Skills
- Machine Learning in Python
- PyTorch
- Scikit-learn
- Keras
- LangChain
- Python Programming
- MATLAB/Simulink
- LATEX
- Arduino Programming