I am a passionate Computer Science student driven by the desire to build robust applications and extract value from complex data. I thrive at the intersection of Software Engineering, Data Science, and DevOps. Throughout my studies and personal projects, I have developed a strong hands-on approach to problem-solving. I don't just write code; I focus on creating efficient architectures, building predictive models, and deploying them effectively. 🚀 What I do & Key Projects: • Data Science & Machine Learning: Training models for classification, regression, and clustering. Experienced in NLP (NLTK, spaCy) and applied anomaly detection (Isolation Forest) within a real-time fraud detection system. • AI & Automation: Designing smart workflows (n8n, RAG) and automated scraping/generation pipelines. • Web Development: Building scalable backend solutions (Laravel) and microservices architectures (FastAPI/Django),Spring boot. • DevOps & CI/CD: Ensuring smooth deployments and continuous integration using Docker, Kubernetes, and GitLab. 🛠️ Technical Stack: • Languages: Python, PHP, JavaScript,Java/J2ee. • Data & AI: Scikit-learn, NLTK, spaCy, RAG systems. • Tools & Infra: Docker, Kubernetes, GitLab CI/CD, Git, n8n.