Nahashon Mbugua
London
Summary
Dynamic Biomedical Sciences graduate with extensive hands-on experience in AI training data annotation and evaluation, complemented by a commitment to advancing Python skills for AI model development in healthcare and life sciences. Eager to leverage domain expertise in AI projects, particularly in diagnostics, genomics, and disease modeling. Passionate about driving innovation and improving outcomes through the integration of artificial intelligence in biomedical applications. Prepared to contribute to transformative projects that enhance healthcare solutions and advance scientific research.
Overview
9
9
years of professional experience
Work History
AI Researcher
Appen
08.2023 - Current
- Engaged in AI model training through data labeling and evaluation tasks
- Contributed to the development of AI systems in the biomedical domain
Freelance Subject Matter Expert (Biomedical Sciences)
Various Online Platforms
02.2020 - Current
- Provided expert consultation on biomedical topics for AI and healthcare projects
- Annotated, curated, and validated biomedical datasets for machine learning and NLP applications
- Reviewed scientific content for accuracy in research, educational, and AI training materials
- Collaborated with international clients, researchers, and startups to improve biomedical AI outputs
- Delivered clear scientific explanations and guidance to cross-disciplinary teams
STEM Outreach Ambassador
STEM Learning UK
09.2016 - 06.2019
- Led workshops reaching 300+ students
- Designed visual materials and interactive sessions using PowerPoint and Kahoot
- Built skills in digital teaching, public engagement, and cross-disciplinary collaboration
Education
BSc - Biomedical Sciences
University of Birmingham
07.2019
Skills
- Biomedical Domain Expertise
- In-depth knowledge of cell biology, genetic pathways, immune response, and clinical markers
- Experienced in preparing biomedical data for machine learning training
- Familiar with ICD coding, gene families, and biological pattern recognition for machine learning
- Python (beginner; currently learning, in progress)
- Detail-oriented for data review and annotation accuracy
- Clear communicator across interdisciplinary teams (scientists, developers, data engineers)
- Rapid learner of technical workflows (labeling tools, model feedback, dataset curation)
Languages
English
Academic & Campus Involvement
Biological Society (BioSoc) – Active Member (2016–2019) Attended seminars on computational biology and biomedical trends Coordinated public events and academic quizzes STEM Ambassador – University of Birmingham Delivered interactive biology lessons to secondary school students Simplified complex topics for broad audiences — experience relevant to AI dataset design
Awards & Recognitions
Wellcome Trust Biomedical Bursary (2018): Funded research in protein assay development, Academic Excellence Certificate: Top 15% academic performance, BioSoc Quiz Champion (2019): Leadership in university-wide biology competition
Technical & Scientific Skills
- Communication: Scientific writing, peer teaching, public outreach
- Collaboration: Worked effectively with lab supervisors, outreach partners, and student societies
Research & AI Interests
- Training biomedical AI models for diagnostics, genomics, or immunology
- Improving AI input quality through expert annotation and validation
- Machine learning applications in immunology, disease prediction, and omics data
- Biomedical NLP for research and clinical notes
Timeline
AI Researcher
Appen
08.2023 - Current
Freelance Subject Matter Expert (Biomedical Sciences)
Various Online Platforms
02.2020 - Current
STEM Outreach Ambassador
STEM Learning UK
09.2016 - 06.2019
BSc - Biomedical Sciences
University of Birmingham
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