Iorsase David
@iorsasedavid
AI/ML specialist focused on model evaluation, data quality assurance, and measurable performance improvements.
What I'm looking for
I am an AI/ML professional with 7+ years bridging human understanding and artificial intelligence, specializing in model evaluation, data quality assurance, and content validation. I combine hands-on ML development with rigorous annotation practices to improve model reliability.
At Namusoft I led AI model evaluation efforts across decentralized applications, documented failure patterns, and helped increase model accuracy by 25% in six months. As an independent consultant I built and validated classification models, including a medical diagnostic model achieving 97%+ accuracy through careful data preparation and validation.
I prioritize clear technical documentation, structured feedback, and cross-functional collaboration to ensure AI outputs are accurate, culturally aware, and actionable. I am detail-oriented, proactive in asking clarifying questions, and passionate about responsible AI that serves diverse global communities.
Experience
Work history, roles, and key accomplishments
Senior Developer (AI/ML)
Namusoft
Jan 2021 - Present (4 years 9 months)
Led AI model evaluation and quality assurance across four decentralized applications, improving model accuracy by 25% over six months through systematic testing and structured feedback.
ML/AI Consultant
Self-Employed
Jan 2018 - Present (7 years 9 months)
Developed and validated classification models for global clients, including a medical diagnostic system achieving 97%+ accuracy through rigorous data preparation and evaluation.
Junior Data Scientist
Federal Mortgage Bank
Jan 2020 - Jun 2020 (5 months)
Performed data cleaning and validation on financial datasets of 100,000+ records, improving data integrity by 25% and documenting verification processes for ongoing team use.
Education
Degrees, certifications, and relevant coursework
Veritas University
Bachelor of Science, Computer Science
Completed a Bachelor of Science in Computer Science with coursework in Artificial Intelligence, Machine Learning, data structures, databases, and statistical analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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