A passionate full stack AI engineer who builds innovative data-driven solutions and explores cutting-edge technologies across the full ML lifecycle.

🔧 What I do:

- 🤖 Machine Learning & AI: Develop and deploy ML models using Python, scikit-learn, TensorFlow, and PyTorch

- 📊 Data Science: Apply statistical analysis, data visualization, and predictive modeling to solve business problems

- ⚡ Big Data Processing: Utilize Spark & PySpark for large-scale data engineering and ML workflows

- 🏗️ MLOps & Engineering: Build robust backend solutions with FastAPI, Java, and implement ML model deployment pipelines

- 🌐 Full Stack Development: Create interactive front-end applications with ReactJS and Angular for ML applications

- 🔧 Technical Tools: Work with Docker, Linux, SQL databases, Git, and modern cloud technologies

💡 Machine Learning Expertise:

- Supervised Learning: Classification, regression, and ensemble methods

- Unsupervised Learning: Clustering, dimensionality reduction, and anomaly detection

- Data Engineering: ETL pipelines, feature engineering, and data preprocessing

- Statistical Analysis: Applied linear algebra, statistics, and numerical optimization

- Data Visualization: Creating insightful plots and dashboards using Matplotlib, pandas, and modern visualization tools

- Big Data: Experience with distributed computing and large-scale data processing