David Ade
Driven by a passion for coding since age 14 and a fascination with AI sparked by AlphaGo's historic victory, David Ade has built his career around creating impact-driven solutions.
About
Driven by a passion for coding since age 14 and a fascination with AI sparked by AlphaGo’s historic victory, David Ade has built his career around creating impact-driven solutions. This pursuit led him to a BSc in Computer Science & AI from the University of Sussex, where his dissertation on an NLP-driven “Shopping Bot” earned a 1st class mark. His professional work exemplifies this mission, particularly at Sanius Health, where he was instrumental in a £225M strategic partnership, scaled a published machine learning model to 92% sensitivity for a 399-patient cohort , and engineered a pipeline connecting over 500 rare-disease patients with new clinical trials. As an entrepreneur, his award-winning, AI-powered startup managed over £7500 in funding, while his solo SaaS project on AWS saved over 100 users £4,000 and 264 hours of manual work. David’s focus on tangible outcomes is also evident in his personal projects, such as a 96%-accurate pneumonia detection model, and his leadership in organising a charity bike trip that raised £7000. He leverages a deep technical toolkit, including an AWS Machine Learning certification and expertise in Python, TensorFlow, and Langchain, to turn complex AI concepts into real-world benefits
- 7 years' experience
- Joined September 2025
Skills· 33
Languages
- EnglishFluent
- Spanish; CastilianIntermediate
Industry experience
- Healthcare
- Software & Internet
- Professional Services
- Other
- Life Sciences
- Media & Entertainment
- Education
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Work experience· 6 roles
Led technical integration with a major European partner, developing 4 technical guides and delivering workshops to align stakeholders and support a £225M strategic deal. Scaled an ensemble machine learning model (GBM, TensorFlow NN) for a 399-patient cohort, processing 1.2M+ datapoints to boost predictive sensitivity from 84% to 92%. Informed NHS leadership strategy by analysing 50,000 patient data points with NLP, topic modelling, and sentiment analysis. Engineered and deployed a clinical trial matching algorithm pipeline with the ClinicalTrials.gov API, enabling 500+ rare-disease patients to access new trial opportunities.
Increased lead conversion by 15% by automating outreach with web browser automation, OCR, and LLM-personalised messaging at scale, processing 500 leads every day.
Coded and scaled an AI SaaS platform on AWS (App Runner and S3), delivering £4,000 in cost savings and reclaiming 264 hours of manual work for 100+ users in 60 days. Implemented a validated schema algorithm to reduce data entry errors by 40%. Integrated LangChain agents and RAG for AI analysis, reducing bank statement audit time by 50% for audit assurance firm clients.
Education
Certifications and awards
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