Skills
**Programming:** Python, Dart, Java, C++
**AI & Machine Learning:** Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), RAG, AI Agents, Model Evaluation, Supervised & Unsupervised Learning
**Data Science:** Data Analysis, Data Preprocessing, Feature Engineering, Data Visualization, Statistical Analysis, Pandas, NumPy, Scikit-learn
**Generative AI:** LLM Integration, Prompt Engineering, Embeddings, Vector Databases, Semantic Search, Multilingual AI
**Mobile Development:** Flutter, Dart, Cross-Platform Development, Riverpod, GoRouter, Dio, REST API Integration, JWT Authentication, Flutter Secure Storage, Responsive UI
**Backend & APIs:** Django, Django REST Framework, Flask/FastAPI, RESTful APIs, PostgreSQL
**Software Engineering:** Object-Oriented Programming, SOLID Principles, Clean Architecture, Design Patterns, Git, GitHub, Testing, Debugging, Performance Optimization
**MLOps & Deployment:** Docker, Model Deployment, API Deployment, CI/CD Fundamentals, ML Pipelines, Model Serving
**Tools & Technologies:** VS Code, Jupyter, Git, GitHub, Linux, PostgreSQL
About
Computer Science Engineer specialized in Artificial Intelligence and Data Science, with hands-on experience in AI, machine learning, NLP, RAG, LLMs, and Python development, as well as cross-platform mobile application development using Flutter and Dart. Experienced in building intelligent applications, integrating RESTful APIs and backend services, developing data-driven solutions, and applying software engineering principles such as Clean Architecture, SOLID, and Git-based development. Strong problem-solving and analytical skills, with a passion for building reliable, scalable, and user-focused software solutions across AI and mobile technologies.
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