I'm passionate about building intelligent systems, solving real-world problems with data, and exploring the intersection of Machine Learning, Deep Learning, and AI Engineering.
I enjoy working on end-to-end AI projects — from data cleaning and feature engineering to model training, evaluation, and deployment.
- Build and optimize Machine Learning & Deep Learning models for real-world applications
- Work on NLP, Computer Vision (CNNs), and sequence models like LSTMs
- Perform data analysis, feature engineering, and visualization for better model performance
- Explore advanced AI topics including LLM fine-tuning and Reinforcement Learning
- Develop scalable AI systems and learn MLOps practices for deployment and automation
- Languages: Python, SQL, JavaScript
- ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost
- Data Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Databases: PostgreSQL, MongoDB, MySQL
- Cloud & Tools: Git, Docker, AWS, Google Cloud, Jupyter Notebook
- Working on real-world ML projects with practical impact
- Exploring state-of-the-art AI techniques
- Always learning and improving my skills
- Interested in AI applications and automation