Olamide Oladimeji
Data Engineer @Ladybird
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WORK HISTORY
Data Engineer @Ladybird
Manchester, GB
At Ladybird, I’m transforming how NHS GP services connect with patients by developing AI-driven call systems that use natural language processing to eliminate frustrating wait times, replacing outdated phone menus. Leveraging the NHS database to ensure secure patient verification and address patients concerns, enabling seamless appointment booking, checking, and canceling to build a scalable data architecture and process text data for robust NLP models, collaborating with teams to integrate machine learning into the platform. Using AWS and optimising data management for efficiency, while documenting infrastructure to keep AI systems clear and maintainable. Ultimately empowering patients with faster, smarter access to healthcare.
EDUCATION
University of Bradford
MSc Applied computer science and artificial intelligence
University of Ilorin, Nigeria
BSc Electrical and Electronics Engineering
ABOUT OLAMIDE OLADIMEJI
At Lumo (Lumo.so), we employed cutting edge AI technology ( e.g. LLMs/ AI agents / STT / TTS) to build the best version of AI toys one can find on the market. Working at Global Bee Project, my role involved enhancing communication protocols and developing models and applications to improve user experience. Our team\'s efforts have led to a 30% increase in data transmission reliability and implementing data driven decisions. With a MSc in Applied Computer Science and Artificial Intelligence at the University of Bradford, I sharpened my expertise in data analysis and machine learning. My educational journey builds on a solid foundation in Electrical and Electronics Engineering, driving my passion for automation, technological solutions, digital innovations and AI solutions. I actively seek opportunities in the Data Analysis, Machine Learning, and Software Development field. I have hands-on experience building scalable data pipelines, AI-based solutions, and micro services across various projects. My technical expertise spans Python, Java, C++ and modern data engineering technologies like AWS. In addition, I am proficient with core data science and machine learning algorithms and libraries, including pandas, NumPy, sci-kit-learn, TensorFlow, and PyTorch. I have successfully applied these tools to build solutions like,\"deep learning model for plant specie identification in biodiversity assessment\", “Hybrid(niche specific) chatbots with perfect memory and personalisation features”,\"early detection of fraud in credit cards\",\"MMA-AI Judging system\", “early detection of lung cancer in ct scan images “ and other real-world applications.
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