About Me
Results-driven AI Engineer experienced in developing and deploying end-to-end AI/ML models for NLP, Computer Vision, and Generative AI applications. Proficient in Python, TensorFlow, PyTorch, and cloud AI services. Stron…
Results-driven AI Engineer experienced in developing and deploying end-to-end AI/ML models for NLP, Computer Vision, and Generative AI applications. Proficient in Python, TensorFlow, PyTorch, and cloud AI services. Strong expertise in LLMs, chatbot development, and Retrieval-Augmented Generation (RAG). Adept at data pipeline design, prompt engineering, and AI integration into enterprise workflows. Seeking opportunities in Dubai or Saudi Arabia to contribute to cutting-edge AI innovation and digital transformation.
Experience
AI Engineer Intern
<p>Developing and deploying machine learning models using Python<br>
Working with data analysis and visualization tools to drive impactful insights across various domains<br>
Mastered core Python concepts, including variables, data types, control structures, functions, and collections<br>
Developed efficient algorithms leveraging loops, class objects, and operators<br>
Created visualizations such as bar charts, scatter plots, and network graphs to translate complex data into actionable insights<br>
Applied visualization techniques for financial analysis, healthcare, marketing, and HR<br>
Skilled in data cleaning, handling missing values, outlier detection, and feature engineering to improve dataset quality<br>
Developed supervised learning models, including linear and logistic regression, and classifiers like Naive Bayes, KNN, and SVM<br>
Implemented unsupervised learning algorithms, including K-means clustering and PCA, to uncover hidden data patterns<br>
Gained experience in CNN-based architectures such as YOLO V8 and RCNN for real-time object detection and image classification<br>
Built AI/ML models for medical research, predicting patient conditions based on biomechanics features<br>
Applied K-means clustering in the automotive domain to categorize vehicle types<br>
Leveraged machine learning models to analyse and predict team performance in basketball tournaments and customer churn for telecom companies<br>
Used Pandas and Numpy for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for model building<br>
Performed model evaluation with accuracy, precision, recall, and F1-score<br>
Improved performance through hyper parameter tuning and grid search</p>
AI Engineer Intern
Developing and deploying machine learning models using Python, data analysis and visualization