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I'm Omar Mahmoud, an AI Engineer and Research Scientist focused on designing and shipping production-grade GenAI and ML systems. I work hands-on across the full stack—from fine-tuning open-source LLMs (like Llama 3 and Mistral) with PEFT/LoRA to deploying RAG pipelines and NLP APIs on AWS. Currently a PhD candidate in Artificial Intelligence at Deakin University (expected 2026). I have published at NAACL, EMNLP, EACL, and LREC on LLM alignment, privacy, and multilingual NLP, and I thrive in fast-moving engineering teams delivering end-to-end research-to-delivery.…I'm Omar Mahmoud, an AI Engineer and Research Scientist focused on designing and shipping production-grade GenAI and ML systems. I work hands-on across the full stack—from fine-tuning open-source LLMs (like Llama 3 and Mistral) with PEFT/LoRA to deploying RAG pipelines and NLP APIs on AWS. Currently a PhD candidate in Artificial Intelligence at Deakin University (expected 2026). I have published at NAACL, EMNLP, EACL, and LREC on LLM alignment, privacy, and multilingual NLP, and I thrive in fast-moving engineering teams delivering end-to-end research-to-delivery.

Omar Mahmoud

Data Scientist, AI Engineer, AI Developer, +4

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I'm Omar Mahmoud, an AI Engineer and Research Scientist focused on designing and shipping production-grade GenAI and ML systems. I work hands-on across the full stack—from fine-tuning open-source LLMs (like Llama 3 and Mistral) with PEFT/LoRA to deploying RAG pipelines and NLP APIs on AWS. Currently a PhD candidate in Artificial Intelligence at Deakin University (expected 2026). I have published at NAACL, EMNLP, EACL, and LREC on LLM alignment, privacy, and multilingual NLP, and I thrive in fast-moving engineering teams delivering end-to-end research-to-delivery.…I'm Omar Mahmoud, an AI Engineer and Research Scientist focused on designing and shipping production-grade GenAI and ML systems. I work hands-on across the full stack—from fine-tuning open-source LLMs (like Llama 3 and Mistral) with PEFT/LoRA to deploying RAG pipelines and NLP APIs on AWS. Currently a PhD candidate in Artificial Intelligence at Deakin University (expected 2026). I have published at NAACL, EMNLP, EACL, and LREC on LLM alignment, privacy, and multilingual NLP, and I thrive in fast-moving engineering teams delivering end-to-end research-to-delivery.

Available to hire

I’m Omar Mahmoud, an AI Engineer and Research Scientist focused on designing and shipping production-grade GenAI and ML systems. I work hands-on across the full stack—from fine-tuning open-source LLMs (like Llama 3 and Mistral) with PEFT/LoRA to deploying RAG pipelines and NLP APIs on AWS.

Currently a PhD candidate in Artificial Intelligence at Deakin University (expected 2026). I have published at NAACL, EMNLP, EACL, and LREC on LLM alignment, privacy, and multilingual NLP, and I thrive in fast-moving engineering teams delivering end-to-end research-to-delivery.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Arabic

Advanced

Work Experience

Research Assistant at Deakin University

February 1, 2025 - June 30, 2025

Design and implement Retrieval-Augmented Generation (RAG) systems and optimize large language models (LLMs) for performance, efficiency, and scalability. Fine-tune pre-trained models on domain-specific data and evaluate their performance for various NLP tasks. Collaborate with researchers on cross-disciplinary projects, build prototypes, and automate data pre-processing pipelines to enhance model development and deployment.

Data Scientist Intern at INETWORKS

January 1, 2020 - April 30, 2020

Developing a Recommendation System using NLP to recommend job industry based on job title and function. Creating and building web scraping scripts to collect data from various technical websites.

Undergraduate Research Assistant at RSSCI Lab, Helwan University

October 1, 2019 - Present

Responsible for collecting and preparing data sets for use in training and testing machine learning models. Design experiments to test different models or hypotheses related to the research project.

Research Assistant at Deakin University — A2I2, Geelong, VIC

February 1, 2025 - June 30, 2025

Architected and produced RAG pipelines using LangChain and LlamaIndex, with hybrid dense and sparse retrieval and re-ranking; achieved a 20% improvement in retrieval accuracy over BM25 baselines on internal benchmarks.

Freelance ML/AI Engineer at Upwork (Remote)

May 1, 2022 - Present

Delivered end-to-end NLP and LLM solutions across legal, e-commerce, and healthcare clients—document Q&A systems, knowledge-base chatbots, semantic search engines, and ASR pipelines.

Undergraduate Research Assistant at RSSC I Lab, Helwan University

October 1, 2019 - January 1, 2021

Led data acquisition and engineering for large-scale image and text datasets; designed experiments for CV and NLP tasks using PyTorch and TensorFlow; achieved state-of-the-art benchmark results.