Adewale Adeleke

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.