Charles Anjah
Senior Ai Research Engineer, Ukomain Omaib Initiative @Uk Open Multimodal Ai Network Ukomain
Signup · Get unlimited contacts
WORK HISTORY
Senior Ai Research Engineer, Ukomain Omaib Initiative @Uk Open Multimodal Ai Network Ukomain
Architecting AI systems and workflows that bridge research prototypes with real‑world deployment across healthcare, finance, and public‑sector domains.Defining technical standards and governance frameworks that ensure safety, transparency, and ethical alignment across OMAIB workstreams.Leading research engineering efforts, including model evaluation, benchmarking, reproducibility, and integration of open research infrastructure.Collaborating with national partners, researchers, and engineers to translate policy and scientific objectives into actionable system designs.Building modular, reproducible pipelines that support experimentation, validation, and deployment at scale.Supporting programme‑level decision‑making by providing technical insight on architecture, data strategy, and AI system reliability.Championing open, accessible, and responsible AI, ensuring that innovations developed within OMAIB can be trusted, audited, and adopted widely
EDUCATION
University of Bradford
Master's degree, Artificial Intelligence
ABOUT CHARLES ANJAH
Forward-thinking AI/Machine Learning Engineer with specialised expertise in Natural Language Processing, Generative AI, and multimodal systems. Recently worked as the NLP Developer at the University of Bradford, where I spearheaded the development of enterprise-grade AI solutions that transform healthcare operations and educational experiences.Academic Excellence & Research Impact• MSc in Artificial Intelligence (Distinction) from the University of Bradford• Groundbreaking research in LLM applications for robot-assisted interventions• Contributor to peer-reviewed publications and research reviewer for YISEC 2025• Groundbreaking research in agentic AI applications for pharmacy education and consultation.Professional Leadership & Innovation• Architect of advanced healthcare AI platforms, achieving 95% industry compliance with 99.7% uptime.• Developer of sophisticated multi-agent conversational AI systems leveraging private LLMs in regulated environments.• Proven track record of implementing predictive analytics solutions with 89% accuracy ratesTechnical Mastery & Impact• Expert in Python, TensorFlow, PyTorch, and cutting-edge deep learning frameworks• Specialise in developing Agentic RAG systems using vector databases and knowledge graph architectures• Experienced in deploying AI solutions across highly regulated industries (financial services, healthcare)• Demonstrated success in improving operational efficiency by up to 87% through innovative AI implementationsThought Leadership & Community Engagement• Featured speaker at AI conferences and technology events• Member of prestigious organisations, including the British Computer Society (BCS), Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB), and Association for the Advancement of Artificial Intelligence Passionate advocate for responsible AI development and ethical technology implementation• Committed to bridging the gap between academic research and practical business applicationsI am driven by AI\'s potential to solve complex real-world challenges. I am particularly interested in multi-agent, multimodal AI systems, human-computer interaction, and the intersection of technology with human well-being. I am always eager to collaborate on innovative projects that push the boundaries of what\'s possible with artificial intelligence.Let\'s connect to explore opportunities in AI research, discuss emerging technologies, or collaborate on projects that make a meaningful impact.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.