Skills
Programming: Python
AI & Machine Learning: Machine Learning, Deep Learning, NLP, Computer Vision
ML Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy
Data Analysis: Data Preprocessing, Feature Engineering, Data Visualization, Model Evaluation
MLOps: ML Model Deployment, Model Monitoring, ML Pipelines, APIs
Tools: Git, GitHub, Jupyter Notebook, VS Code
Other: OpenAI APIs, Docker
About
AI and Machine Learning graduate with hands-on experience in Python, machine learning, data analysis, and AI projects. Skilled in developing, training, evaluating, and improving machine learning models using Python and popular ML libraries. Familiar with data preprocessing, model evaluation, and practical AI solution development, with a growing focus on MLOps, model deployment, and scalable AI systems. A motivated and fast-learning problem solver who is eager to apply technical skills to real-world projects and grow as an AI Engineer.
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