ali alhalabi
About Candidate
Machine Learning Engineer specializing in NLP systems with experience building
end-to-end machine learning pipelines from dataset engineering and model training to deployment through
production inference APIs. Strong background in Python, TensorFlow, PyTorch, FastAPI, and Docker.
Experienced working with founders, domain experts, and engineering teams to translate real-world
problems into deployable AI systems while contributing to product requirements and roadmap discussions.
Education
Work & Experience
Designed and deployed an Arabic speech recognition pipeline covering dataset engineering, model
training, evaluation, and inference API development.- Built a specialized Arabic speech dataset containing recordings from children with non-standard speech
patterns.- Developed audio preprocessing and feature extraction pipelines for machine learning model training.- Trained deep learning models using TensorFlow and PyTorch and evaluated recognition performance
using Word Error Rate (WER).- Developed FastAPI inference APIs integrating speech recognition models into an educational platform.- Containerized inference services using Docker for deployment and testing environments.- Contributed to product discovery, requirements definition, PRDs, and roadmap discussions with founders
and stakeholders.- Supported MVP definition, feature prioritization, and Agile delivery processes.
