Nima Mohammadi Meshky
,United Kingdom
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Nima Mohammadi Meshky is a dedicated and accomplished PhD candidate in Computer Science at the University of Waterloo, specializing in Artificial Intelligence, particularly in the areas of trustworthy AI, explainable AI (XAI), and robust machine learning. His research focuses on developing novel techniques to make AI systems more transparent, reliable, and fair, addressing critical challenges in the practical deployment of machine learning models. Nima has a strong background in software engineering and data science, with hands-on experience in developing and implementing complex algorithms. He is passionate about leveraging AI for social good and actively contributes to the research community through publications and collaborations.
Professional Summary
Nima Mohammadi Meshky's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD Candidate in Computer Science
Currently pursuing a Doctor of Philosophy in Computer Science at the University of Waterloo, focusing on trustworthy and explainable Artificial Intelligence under the supervision of leading researchers in the field.
Research in Explainable AI (XAI)
Contributed to research on developing novel methods for explaining the decisions of complex machine learning models, aiming to enhance transparency and user trust in AI systems. His work has been recognized in academic circles.
Multiple Peer-Reviewed Publications
Authored and co-authored several research papers published in reputable AI and machine learning conferences and journals, such as work on 'Interpretable Preference-Based Reinforcement Learning'.
Teaching Assistant and Mentor
Served as a Teaching Assistant for various computer science courses at the University of Waterloo, mentoring undergraduate students and contributing to their academic development in AI and programming.
Proficiency in AI/ML Technologies
Demonstrated expertise in a wide array of AI/ML tools and frameworks including Python, TensorFlow, PyTorch, Scikit-learn, and experience with large-scale data processing and model deployment.
Educational Background
Master of Science - MS, Communications and Signal Processing
Imperial College London - Year 2018
Bachelor of Engineering - BE, Electrical and Electronics Engineering
Brunel University London - Year 2015
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Company Overview
Bank of AmericaBank of America is one of the world's leading financial institutions, serving individual consumers, small and middle-market businesses, and large corporations with a full range of banking, investing, asset management, and other financial and risk management products and services. The company is a major player in the United States banking industry, offering services through a vast network of branches, ATMs, and digital platforms.
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