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Mohammed Azeez User

@mohammmedazeez

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AI/Machine Learning Engineer specializing in deep learning and NLP.

India

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my skills in AI and machine learning to drive impactful solutions.

I am an AI/Machine Learning Engineer with hands-on experience in building, optimizing, and deploying machine learning and deep learning systems. My specialization lies in Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), and Generative AI. I have a proven track record of model optimization, inference deployment, and integrating AI pipelines in production environments.

During my tenure as an AI Research Engineer at UoT Lab, I designed an internal AI chatbot that significantly reduced manual ticket resolution time by 40%. I also deployed optimized TensorRT inference pipelines, enhancing LLM throughput by over 40% and reducing response latency by approximately 30%. My internship at the International Internship Pilot Program allowed me to build an AI solution for analyzing Cyber Threat Intelligence reports, achieving a remarkable 95%+ F1 score for automated entity extraction.

Experience

Work history, roles, and key accomplishments

AI Research Engineer

UoT Lab Collaboration with Wistron NeWeb Corp

Aug 2024 - Jun 2025 (10 months)

Designed an internal AI chatbot for Wistron operations, reducing manual ticket resolution time by 40%. Deployed optimized TensorRT inference pipelines on Jetson TX2, improving LLM throughput by +40% and reducing response latency by ~30%. Fine-tuned LLaMA 3.1 for domain-specific edge deployment, increasing task-specific accuracy to 92.4%.

Chatbot TensorRT LLM LLaMA 2 Optimization Inference Deployment

AI Engineering Intern

International Internship Pilot Program (IIPP)

May 2024 - Jul 2024 (2 months)

Built an AI solution to analyze Cyber Threat Intelligence (CTI) reports using LLMs, achieving 95%+ F1 score for automated entity extraction and summarization using spaCy and BERT-enhanced models. Led an international team of research students for collaboration on model evaluation and annotation automation.

LLM Threat Intelligence SpaCy BERT Summarization Team Leadership

Education

Degrees, certifications, and relevant coursework

Presidency University

Bachelor of Technology, Computer Engineering

Completed a Bachelor of Technology in Computer Engineering. This program provided a strong foundation in computer science principles and engineering practices.

Huda National PU College

Pre-University, PCMC

Completed Pre-University studies in PCMC (Physics, Chemistry, Mathematics, Computer Science) under the Karnataka State Board. This coursework prepared for higher education in technical fields.