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
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📝 CQRS vs. CRUD: Choosing the Right Pattern for Your Application - 20 Aug 2024
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📝 The Art of Clean Code: Writing Software That Stands the Test of Time - 22 Jun 2024
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📝 Mastering Data Visualization: The Ultimate Guide to Choosing the Right Plot for Your Data - 21 Jun 2024
