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I am a seasoned AI Expert and Medical Doctor with six years of experience in AI, ML and innovation. Led the development of Nigeria's first foundational decoder-only language model and contributed to 7+ AI research projects. Passionate about leveraging AI and robotics to transform healthcare.
I am a Medical Doctor and AI Expert with a passion for merging the worlds of healthcare and artificial intelligence. With a robust 6-year track record, I have delivered innovative AI solutions across various domains, including audio processing, computer vision, and natural language processing.
As the lead Engineer and Researcher behind SabiYarn, Nigeria's first LLM capable of text generation in multiple Nigerian languages, I am committed to pushing the boundaries of AI for meaningful societal impact.
My technical proficiency in end-to-end LLM development, including RLHF, allows me to identify challenges and develop trustworthy, compliant technological solutions. I am particularly focused on creating robust, scalable, and ethically-responsible AI that transforms healthcare delivery and preserves cultural diversity through language technology.
My long-term vision lies in the integration of AI, robotics, and nanotechnology to transform healthcare delivery globally.
SabiYarn-125M: Advancing Underrepresented Languages with Multitask NLP Pretraining
Otoibhi J., et al.
Proceedings of the Sixth Workshop on AfricaNLP 2025 (pp. 95-107). Association for Computational Linguistics
Otoibhi J.,
AI Policy Lab Africa
PEPLER with reparameterization for explainable recommendations
Integration of reparameterization to PEPLER's implementation (DIV-3.55, FCR-0.11, BLEU-4 0.8197)
Automatic Post-Edit (APE) Translator with Online Adaptation
Designed and trained APE model. BLEU-4 -0.43, TER-0.66.
Adapting Large Language Models for Collaborative Semantic Recommendations
Modified original implementation to support unique user index generation.
JHU++ Image Crowd Counting (open source implementation)
Implemented a confidence-guided deep residual crowd counting model using PyTorch.
Evaluating Bias in Large Language Models For African Languages
Language bias in LLMs, comparing metrics between African, English and European texts.
"I believe AI has the power to revolutionize healthcare and society. My goal is to build AI systems that enhance patient treatment, monitoring, and rehabilitation—and I won't stop until this vision is realized. The integration of AI, robotics, and nanotechnology represents the next frontier in medicine, and I am committed to being at the forefront of this transformation."