Expertise
AI & NLP Engineering
Expertise in developing and deploying advanced AI and Natural Language Processing solutions, including speech processing, transformers, and multimodal AI systems.
MLOps & Production Deployment
Proficient in building and deploying end-to-end machine learning pipelines, ensuring production-ready solutions with optimized performance and scalable architecture.
Applied Machine Learning Research
Experience in contributing to published research, optimizing model performance, and evaluating complex AI systems for real-world applications.
Projects
English Learning & Pronunciation Assessment Tool
Achieved ~88% scoring accuracy with ~10s inference latency in real-world usage.Built an API for evaluating pronunciation and fluency from speech recordings of predefined text, implementing Wav2Vec2 + CTC alignment with Goodness of Pronunciation (GOP) scoring.
AI Video Dubbing System (Modablaj)
Enhanced output quality using punctuation restoration and Arabic diacritization models.Designed and built an end-to-end video dubbing system integrating ASR, NMT, and TTS pipelines for English to Arabic speech translation, including audio extraction, transcription, translation, speech synthesis, and video synchronization.
Bengali.AI Speech Recognition
Achieved WER: 0.89 (Rank ~720 on a highly competitive benchmark).Fine-tuned Wav2Vec2 + CTC and Whisper on MaCro dataset (1200+ hours, ~24K speakers) to tackle domain shift across 17 unseen audio domains.
Arabic Abstractive Text Summarization
Evaluated using ROUGE metric, achieving 19.2 (Top 18 / 100 teams).Fine-tuned transformer models (mT5, BART, AraBERT) for abstractive Arabic summarization on large-scale datasets (LANS: 8M+ articles, WikiLingua) with custom preprocessing pipelines.
Timeline
Co-authored a research paper on machine learning algorithms for colorectal cancer prediction, published in Springer BMC Artificial Intelligence.
Built and deployed end-to-end AI systems (ASR, NLP, speech applications) as a Freelance AI Engineer, delivering production-ready solutions.
Graduated with a B.S. in Computer Science & Artificial Intelligence from Benha University, achieving a GPA of 3.27/4.0 (Very Good).
Developed an AI Video Dubbing System as a Graduation Project, earning an Excellent with Honors grade.
Managed mission-critical IT operations, network infrastructure, and technical support as a Reserve Officer in the Egyptian Armed Forces.
Developed a pronunciation assessment tool achieving ~88% scoring accuracy with ~15s inference latency.