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@adewaleadeleke
Results-oriented AI Evaluation Expert with a passion for ethical AI.
I am an AI Evaluation Expert with extensive experience in assessing and optimizing large language models and AI-driven solutions. My journey began with a Bachelor of Science in Artificial Intelligence & Data Science from the University of Oxford, followed by a Master of Science in Machine Learning & AI Ethics from MIT. I have dedicated my career to ensuring accuracy, fairness, and efficiency in machine learning models.
At Google DeepMind, I conduct large-scale evaluations of LLMs, identifying biases and enhancing natural language processing capabilities. My previous roles at Meta AI and Microsoft Research have equipped me with the skills to design evaluation frameworks and analyze AI-generated content, ensuring ethical compliance and improved user interactions. I am passionate about leveraging my expertise to contribute to cutting-edge AI research and development.
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Work history, roles, and key accomplishments
Google DeepMind
Jun 2022 - Present (3 years 5 months)
Conducted large-scale evaluations of LLMs to assess performance in diverse NLP tasks. Identified biases and ethical concerns in AI-generated content, recommending refinements. Led cross-functional collaboration between research, engineering, and ethics teams to improve AI transparency.
Meta AI
Jan 2021 - Jun 2022 (1 year 5 months)
Designed and implemented evaluation frameworks for AI models used in social media applications. Analyzed AI-generated responses to improve content moderation and user interactions. Provided insights into data biases and implemented strategies to mitigate unfairness in AI systems.
Tesla AI
Jul 2020 - Dec 2021 (1 year 5 months)
Evaluated AI-powered self-driving car models for performance under various conditions. Assessed object detection and path prediction models for real-world accuracy. Conducted AI audits to enhance model interpretability and accountability.
Microsoft Research
Mar 2020 - Dec 2020 (9 months)
Assessed AI chatbot efficiency and NLP capabilities in customer service applications. Evaluated datasets for inconsistencies and biases, improving AI response accuracy. Delivered reports on AI interpretability and model trustworthiness.
Amazon Web Services (AWS) AI
Jul 2019 - Feb 2020 (7 months)
Evaluated AI solutions for enterprise customers, ensuring compliance with ethical AI guidelines. Assessed sentiment analysis models and recommendation systems for accuracy. Contributed to the development of explainable AI (XAI) practices within AWS teams.
IBM Watson
Apr 2018 - Jun 2019 (1 year 2 months)
Conducted thorough benchmarking of IBM Watson's NLP engines. Developed quality assessment protocols for AI-driven healthcare solutions. Trained AI models with diverse linguistic datasets to enhance multilingual support.
DeepMind Technologies
Aug 2018 - Dec 2018 (4 months)
Conducted adversarial testing on reinforcement learning models. Assessed AI behavioral patterns in autonomous systems. Contributed to research on AI ethics and fairness in decision-making models.
OpenAI
Jan 2018 - Mar 2018 (2 months)
Evaluated GPT-based models for performance across various industries. Recommended fine-tuning strategies for improving AI fluency and context understanding. Assisted in creating guidelines for AI safety and ethical deployment.
Degrees, certifications, and relevant coursework
Bachelor of Science, Artificial Intelligence & Data Science
Studied the foundational principles of Artificial Intelligence and Data Science. Gained expertise in areas such as machine learning algorithms, data analysis, and AI system development.
Master of Science, Machine Learning & AI Ethics
Pursued advanced studies in Machine Learning and AI Ethics, focusing on the responsible development and deployment of AI systems. Explored topics including algorithmic fairness, bias detection, and ethical considerations in AI.
Software and tools used professionally
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