- AI Engineer
- Passionate about AI, Machine Learning, Deep Learning, and building smart solutions.
- Dedicated to applying AI in healthcare, IoT, and real-world problem-solving.
- Experienced in integrating AI with mobile apps & IoT systems.
- Programming & Libraries: Python, C++, JavaScript, SQL, PHP, NumPy, Pandas, Matplotlib, Seaborn
- Machine Learning: Supervised & Unsupervised Learning, Feature Engineering, Model Evaluation & Tuning
- Deep Learning: CNN, LSTM, TensorFlow, Keras, PyTorch
- Signal Processing: EEG/ECG Preprocessing, Filtering, Normalization, Feature Extraction
- Tools & Platforms: Git, GitHub, Streamlit, Flask, Kaggle, Flutter (AI integration), MySQL, PostgreSQL, Arduino
- Developing AI models for data-driven applications and smart solutions, especially in healthcare.
- Integrating AI models with mobile apps & IoT devices for real-time health monitoring.
- Enhancing deployment skills with Streamlit, Flask, and cloud-based solutions.
- BSc in Artificial Intelligence
