Research & Technical Expertise
Natural Language Processing & Machine Learning
- Transformer models (BERT, XLM-RoBERTa, mBERT)
- Sentiment analysis & text classification
- Code-mixed language processing
- Feature fusion techniques
- Fake news & violence-inciting text detection
- Sequence-to-sequence architectures
- Transfer learning for low-resource scenarios
- Ensemble methods
- Cross-validation & hyperparameter tuning
- Model fine-tuning & Customization
Model Deployment & Frameworks
- Flask for API development
- Streamlit for interactive dashboards
- Hugging Face model deployment
Research & Development Process
- Experimental design
- Dataset preparation & preprocessing
- Model evaluation
- Literature review & analysis
- Research paper writing
- Reproducible research practices
Technical Skills
Programming Languages & Libraries
Python
PyTorch & TensorFlow
NumPy, Pandas, Scikit-Learn
Matplotlib & Seaborn
Java, C, C++
Tools & Environments
- Git/GitHub for version control
- Jupyter Notebooks for analysis
- Hugging Face Transformers library
- High-performance computing
- MySQL for data management
- Google Colab & Kaggle
Additional Skills
Problem Solving
Solved 800+ algorithmic problems across various competitive programming platforms including Codeforces, HackerRank, and AtCoder.
Languages
Bengali (Native)
English (Professional Working Proficiency)