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MU@mohammmedazeez
AI/Machine Learning Engineer specializing in deep learning and NLP.
IndiaI 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.
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Work history, roles, and key accomplishments
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%.
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.
Degrees, certifications, and relevant coursework
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.
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.
Software and tools used professionally
IndiaYou can contact Mohammed Azeez and 90k+ other talented remote workers on Himalayas.
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