Mutakilu Mukailu
I love fine-tuning LLMs on downstream tasks.
I love fine-tuning LLMs on downstream tasks.
I specialize in curating high-quality data for RLHF and benchmarking foundation models for world leading AI companies like Apple, OpenAI, Anthropic, etc. My role involves developing research methodologies, fine-tuning LLMs using RLHF, SFT, and prompt engineering to enhance model performance. I also focus on advanced data preprocessing and analysis to improve AI efficiency. Additionally, I lead a team of 10 engineers, driving the development of scalable AI solutions in Python and JavaScript. To ensure continuous improvements, I design experimentation strategies that optimize LLM performance and reliability.
I was responsible for documenting research processes and developing research methodologies to drive AI innovation. My work involved coding, code generation, and code cleaning, ensuring efficiency in AI model development. I also contributed to the design and execution of research logic and experimentation, primarily focusing on building and optimizing recommendation systems.
I develop and teach data science courses, ensuring a practical and engaging learning experience. I focus on innovative teaching methods, making complex concepts accessible to learners. My role also involves curriculum development, designing structured learning paths that align with industry needs. Additionally, I provide assessments and mentorship, guiding students to excel in their data science journeys.
Machine learning models trained on labeled datasets for prediction tasks.
View on GitHubClustering, dimensionality reduction, and anomaly detection models.
View on GitHubDownload my resume:
Download PDFEmail: mutakilumukailu@gmail.com
Location: Kumasi, Ghana