Welcome to my GitHub profile! I'm a Data Scientist and Machine Learning Engineer with a passion for Large Language Models (LLMs), and scalable ML solutions.
- Core Expertise: LLM training/fine-tuning, LLM evaluation, LLM-agent design, Reinforcement Learning, NLP, Deep Learning.
- Data Science Tools: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, XGBoost.
- Deep Learning Frameworks: PyTorch, PyTorch-Lightning, TensorFlow, Hugging Face, DeepSpeed, vLLM, Ollama.
- ML Algorithms: Random Forest, SVM, XGBoost, Linear/Logistic Regression, Decision Trees, KNN.
- Neural Networks: CNNs, RNNs (LSTM, GRU), Transformers (BERT, GPT, T5), GNNs.
- Deployment Tools: Docker, Kubernetes, Git, CI/CD pipelines.
- Software Engineering: Agile methodologies, OOP, design patterns, version control (Git).
- Languages: Python, SQL, Java, C++, C.
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- Developed and deployed NLP and Computer Vision solutions for real-world applications.
- Designed scalable training pipelines using Kubernetes for distributed model training.
- Conducted research on Persian language processing, focusing on emotion recognition and text classification.
- Published papers on Transformer-based models for Persian text analysis.
- Developed image recognition and captioning models using deep learning techniques.
- Bachelor of Science in Computer Engineering - Shahid Beheshti University, Tehran.
- Advanced Python Programming (Jadi-Maktabkhooneh)
- CS231N: Deep Learning and Computer Vision
- CS224: Deep Learning and NLP
- Deep Learning Specialization (Coursera)
- Machine Learning Specialization (Coursera)
- First place: Pindo AI competition.
- Second place: Social media content analysis using AI.
- Third place: Quera AI Olympics for NLP.
- EmoRecBiGRU: Emotion Recognition in Persian Tweets with a Transformer-based Model, Enhanced by Bidirectional GRU.
- Intermediate Fine-Tuning for Robust Persian Emotion Detection in Text.
Feel free to reach out to me via these platforms:
Thanks for stopping by! Let’s build something amazing together. 😊