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I am Omar Mahmoud, a PhD student in Artificial Intelligence focused on trustworthy AI, and a Senior AI Engineer with 5+ years of experience shipping and deploying LLM systems, RAG pipelines, and NLP solutions in production. I’ve published research on AI safety, alignment, and privacy, and I have a track record of delivering reliable, scalable AI systems from fine-tuning and evaluation to cloud deployment. I’m equally strong across research depth and production engineering. I enjoy bridging research and application within interdisciplinary teams, prioritizing responsible AI, privacy-preserving ML, and measurable impact. My work translates complex ideas into practical systems that deliver value while upholding safety and ethical considerations.…I am Omar Mahmoud, a PhD student in Artificial Intelligence focused on trustworthy AI, and a Senior AI Engineer with 5+ years of experience shipping and deploying LLM systems, RAG pipelines, and NLP solutions in production. I’ve published research on AI safety, alignment, and privacy, and I have a track record of delivering reliable, scalable AI systems from fine-tuning and evaluation to cloud deployment. I’m equally strong across research depth and production engineering. I enjoy bridging research and application within interdisciplinary teams, prioritizing responsible AI, privacy-preserving ML, and measurable impact. My work translates complex ideas into practical systems that deliver value while upholding safety and ethical considerations.

Omar Mahmoud

Data Scientist, AI Engineer, AI Developer, +7

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I am Omar Mahmoud, a PhD student in Artificial Intelligence focused on trustworthy AI, and a Senior AI Engineer with 5+ years of experience shipping and deploying LLM systems, RAG pipelines, and NLP solutions in production. I’ve published research on AI safety, alignment, and privacy, and I have a track record of delivering reliable, scalable AI systems from fine-tuning and evaluation to cloud deployment. I’m equally strong across research depth and production engineering. I enjoy bridging research and application within interdisciplinary teams, prioritizing responsible AI, privacy-preserving ML, and measurable impact. My work translates complex ideas into practical systems that deliver value while upholding safety and ethical considerations.…I am Omar Mahmoud, a PhD student in Artificial Intelligence focused on trustworthy AI, and a Senior AI Engineer with 5+ years of experience shipping and deploying LLM systems, RAG pipelines, and NLP solutions in production. I’ve published research on AI safety, alignment, and privacy, and I have a track record of delivering reliable, scalable AI systems from fine-tuning and evaluation to cloud deployment. I’m equally strong across research depth and production engineering. I enjoy bridging research and application within interdisciplinary teams, prioritizing responsible AI, privacy-preserving ML, and measurable impact. My work translates complex ideas into practical systems that deliver value while upholding safety and ethical considerations.

Available to hire

I am Omar Mahmoud, a PhD student in Artificial Intelligence focused on trustworthy AI, and a Senior AI Engineer with 5+ years of experience shipping and deploying LLM systems, RAG pipelines, and NLP solutions in production. I’ve published research on AI safety, alignment, and privacy, and I have a track record of delivering reliable, scalable AI systems from fine-tuning and evaluation to cloud deployment. I’m equally strong across research depth and production engineering.

I enjoy bridging research and application within interdisciplinary teams, prioritizing responsible AI, privacy-preserving ML, and measurable impact. My work translates complex ideas into practical systems that deliver value while upholding safety and ethical considerations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Arabic

Advanced

Work Experience

AI Engineer at Deakin University (A2I2)

February 1, 2025 - Present

Led the development of a production-grade RAG system using LangChain and LlamaIndex with hybrid retrieval and cross-encoder re-ranking, serving 500+ students and researchers and improving retrieval precision by 20% over a dense-only baseline. Finetuned open-source LLMs (LLaMA, Mistral) with PEFT/LoRA on domain-specific corpora, cutting inference latency by 15% and improving task accuracy by 10% across classification and summarization benchmarks; deployed via Docker and AWS SageMaker with automated testing and CI/CD pipelines. Designed LLM evaluation pipelines using RAG and True Lens to measure hallucination, fidelity, and alignment on deployed models, producing documented evaluation protocols for responsible deployment.

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.

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.

AI Engineer at Upwork

May 1, 2022 - June 1, 2023

Independently scoped and shipped 10+ production AI systems for clients in legal, healthcare, and e-commerce, including document Q&A systems, semantic search pipelines, and multilingual text classification APIs. Built end-to-end RAG applications with custom chunking strategies, model selection, and retriever tuning using FAISS and Pinecone, reducing irrelevant retrieval results by ~30% over naive baselines. Developed custom ASR pipelines using Whisper and wav2vec2, achieving 15-20% WER reduction on client multilingual audio data. Deployed fine-tuned LLMs and NLP models as REST APIs using FastAPI on AWS, with monitoring, authentication, and data handling best practices for production reliability.

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.

Data Scientist at iNetworks

January 1, 2020 - April 1, 2022

Built a real-time NLP-driven recommendation system using sentence embeddings and text classification, contributing to a 25% increase in user engagement. Engineered automated web scraping and pre-processing pipelines for structured and unstructured data at scale, reducing manual data preparation effort by 40%.

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 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.

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.