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I am Omar Rashwan, a Computer Engineering graduate with a 3.99/4.00 GPA and a focus on NLP research and Transformer-based LLMs. I design, train, and deploy language models in PyTorch, with research interests in digit-consistent tokenization, arithmetic reasoning, interpretability, and data-efficient multilingual NLP. I love rigorous experimental design, reproducible code, and hardware-aware optimization. My work spans end-to-end ML pipelines—from data collection and pre-training to fine-tuning and production deployment—guided by practical impact and collaboration with cross-functional teams.…I am Omar Rashwan, a Computer Engineering graduate with a 3.99/4.00 GPA and a focus on NLP research and Transformer-based LLMs. I design, train, and deploy language models in PyTorch, with research interests in digit-consistent tokenization, arithmetic reasoning, interpretability, and data-efficient multilingual NLP. I love rigorous experimental design, reproducible code, and hardware-aware optimization. My work spans end-to-end ML pipelines—from data collection and pre-training to fine-tuning and production deployment—guided by practical impact and collaboration with cross-functional teams.

Omar Rashwan Al Ain

AI Engineer, Data Scientist, Developer, +2

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I am Omar Rashwan, a Computer Engineering graduate with a 3.99/4.00 GPA and a focus on NLP research and Transformer-based LLMs. I design, train, and deploy language models in PyTorch, with research interests in digit-consistent tokenization, arithmetic reasoning, interpretability, and data-efficient multilingual NLP. I love rigorous experimental design, reproducible code, and hardware-aware optimization. My work spans end-to-end ML pipelines—from data collection and pre-training to fine-tuning and production deployment—guided by practical impact and collaboration with cross-functional teams.…I am Omar Rashwan, a Computer Engineering graduate with a 3.99/4.00 GPA and a focus on NLP research and Transformer-based LLMs. I design, train, and deploy language models in PyTorch, with research interests in digit-consistent tokenization, arithmetic reasoning, interpretability, and data-efficient multilingual NLP. I love rigorous experimental design, reproducible code, and hardware-aware optimization. My work spans end-to-end ML pipelines—from data collection and pre-training to fine-tuning and production deployment—guided by practical impact and collaboration with cross-functional teams.

Available to hire

I am Omar Rashwan, a Computer Engineering graduate with a 3.99/4.00 GPA and a focus on NLP research and Transformer-based LLMs. I design, train, and deploy language models in PyTorch, with research interests in digit-consistent tokenization, arithmetic reasoning, interpretability, and data-efficient multilingual NLP.

I love rigorous experimental design, reproducible code, and hardware-aware optimization. My work spans end-to-end ML pipelines—from data collection and pre-training to fine-tuning and production deployment—guided by practical impact and collaboration with cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Arabic

Fluent

Work Experience

AI Engineering Intern at Algo Alliance AI

May 1, 2024 - August 31, 2024

Designed and implemented a 124M-parameter transformer LLM in Python, handling the end-to-end model lifecycle (pre-training data of 10 billion tokens, fine-tuning, architecture selection, hyperparameter tuning, production deployment). Built RESTful Flask endpoints consumed by front-end dashboards and mobile apps. Outperformed GPT-2 on HellaSWAG Benchmark (0.35 vs. 0.29). Authored technical design docs and performance reports for further scaling.