I am passionate about machine learning and dedicated to developing efficient and effective ML systems. With a strong foundation in data science and an analytical approach to problem-solving, I aim to contribute to projects that leverage ML to drive impactful insights and optimized performance. My goal is to advance the performance and accuracy of ML models, ensuring they are both scalable and adaptable to various real-world applications.
I have a strong foundation in multiple domains, including Mathematical Optimization, Machine Learning, Data Engineering, and Cloud Computing. Here’s a breakdown of my key expertise:
| 🚀 Domain | 🔥 Key Skills & Focus Areas | Link to my project & lecture |
|---|---|---|
| 📊 Optimization & Math Models | Linear & Nonlinear Programming, Convex Optimization, Graph Theory, Integer Programming | ------------- |
| 🤖 Machine Learning & AI | Supervised & Unsupervised Learning, Reinforcement Learning, Anomaly Detection | ------------- |
| 💾 Data Engineering | ETL Pipelines, Data Warehousing, Real-time Streaming, DuckDB, Apache Kafka | ------------- |
| ☁️ Cloud & DevOps | AWS, GCP, Kubernetes, Docker, CI/CD, Serverless Architectures | ------------- |
| 🔐 Cybersecurity & AI Security | Intrusion Detection, DDoS Mitigation, AI for Threat Intelligence | ------------- |
🚀 Always open for collaboration & research discussions!