Aleena Ealias

I am an AI/ML engineer pursuing an MSc in Artificial Intelligence and Machine Learning with a strong foundation in computer science, mathematics, and statistics. I focus on practical applications of deep learning, NLP, and large language models, emphasizing model evaluation and optimization.

I have engineered full-stack projects such as an AI-powered trading simulator with real-time WebSocket integration and LLM-based chatbots, and developed multimodal research frameworks combining transformers and graph neural networks. My hands-on work spans TensorFlow, PyTorch Geometric, Hugging Face Transformers, and LangChain.

My project portfolio includes irony classification with RNNs/LSTMs achieving 87% accuracy, a computer-vision adaptive music recommender using DeepFace and Last.fm, and accessibility tools like a visual color narrator with text-to-speech. I also designed BI dashboards and academic management systems that demonstrate strong data engineering and visualization skills.

I bring leadership experience from university event and core-committee roles and hold an AWS Certified Machine Learning Engineer - Associate certification. I seek roles where I can deploy ethically guided, explainable AI systems and advance real-world ML solutions.