I am Mahmoud Mojarrad Kiasaraei, an AI/ML Engineer specializing in generative AI, agentic AI, and production-grade AI systems. I focus on building and deploying LLM-powered applications, RAG pipelines, tool-using agents, and AI orchestration, with a strong emphasis on privacy, scalability, and robust evaluation. I enjoy turning research insights into practical solutions for real-world problems in communications and data-intensive domains. I thrive in interdisciplinary teams, translating research into deployable pipelines and cloud-based deployments on AWS and Azure. My passion lies in advancing AI-enabled communication systems while maintaining rigorous monitoring, bias mitigation, and responsible design. When I’m not coding, I enjoy exploring new AI tooling and sharing knowledge through hands-on projects.

Mahmoud Mojarrad Kiasaraei

I am Mahmoud Mojarrad Kiasaraei, an AI/ML Engineer specializing in generative AI, agentic AI, and production-grade AI systems. I focus on building and deploying LLM-powered applications, RAG pipelines, tool-using agents, and AI orchestration, with a strong emphasis on privacy, scalability, and robust evaluation. I enjoy turning research insights into practical solutions for real-world problems in communications and data-intensive domains. I thrive in interdisciplinary teams, translating research into deployable pipelines and cloud-based deployments on AWS and Azure. My passion lies in advancing AI-enabled communication systems while maintaining rigorous monitoring, bias mitigation, and responsible design. When I’m not coding, I enjoy exploring new AI tooling and sharing knowledge through hands-on projects.

Available to hire

I am Mahmoud Mojarrad Kiasaraei, an AI/ML Engineer specializing in generative AI, agentic AI, and production-grade AI systems. I focus on building and deploying LLM-powered applications, RAG pipelines, tool-using agents, and AI orchestration, with a strong emphasis on privacy, scalability, and robust evaluation. I enjoy turning research insights into practical solutions for real-world problems in communications and data-intensive domains.

I thrive in interdisciplinary teams, translating research into deployable pipelines and cloud-based deployments on AWS and Azure. My passion lies in advancing AI-enabled communication systems while maintaining rigorous monitoring, bias mitigation, and responsible design. When I’m not coding, I enjoy exploring new AI tooling and sharing knowledge through hands-on projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Work Experience

Machine Learning Engineer at University of Leeds
February 1, 2026 - Present
Lead development of generative AI models (GANs, diffusion models, and LLM-based systems) to produce high-fidelity, privacy-preserving synthetic datasets for open RAN applications. Design and optimize end-to-end ML pipelines (data preprocessing, model training, fine-tuning, monitoring, and evaluation) to improve robustness and bias mitigation, and to boost downstream model performance. Collaborate with cross-functional teams to deploy production-grade AI solutions in cloud environments, ensuring scalability, observability, and governance.
Postdoctoral Research Associate at The University of Sheffield
April 1, 2024 - January 1, 2026
Applied machine learning and generative AI techniques to communication systems. Integrated generative AI-driven approaches with classical signal processing and communication theory to enhance system performance and adaptability. Built and evaluated communication systems to validate generative AI-based algorithms under various system conditions. Analyzed model performance and optimized solutions for accuracy, efficiency, and practical deployment constraints. Assisted in drafting research proposals and grant applications related to AI-enabled communication systems.
Junior Network Software Engineer at NAK, Telecommunications Services Company
August 1, 2016 - July 1, 2017
Implemented network protocols, data handling, and automation scripts to improve network efficiency and reliability. Integrated network monitoring, management, and control software for wireless systems. Collaborated with cross-functional teams to ensure software compatibility with hardware and telecom standards. Documented software design, testing procedures, and network performance metrics.

Education

PhD in Information and Communication Systems at University of Surrey
September 1, 2020 - January 1, 2025

Qualifications

DevOps, DataOps, MLOps
February 1, 2026 - April 29, 2026
Build RAG Applications: Get Started
January 1, 2026 - April 29, 2026
Model Context Protocol: Advanced Topics
January 1, 2026 - April 29, 2026
Introduction to Model Context Protocol
January 1, 2026 - April 29, 2026
Develop Generative AI Applications
October 1, 2025 - April 29, 2026

Industry Experience

Software & Internet, Education, Professional Services, Telecommunications, Media & Entertainment