Simon Handley

About Simon Handley

I build effective AI/ML teams, with hands-on data engineering, programming, and infrastructure.I did my PhD in machine learning at Stanford and have 20+ years of experience in Silicon Valley building ML models and ML pipelines.

Experience

1. Senior Ai Ml Solutions Architect - Global Life Sciences

   Amazon Web Services (AWS)

   Dec 2022 — Present · Santa Fe, NM, US

   Working with our life sciences customers to help them implement GenAI workloads* Focus on architecting factual and accurate solutions using techniques such as RAG, Agents, and Chain-of-Thought prompting

Education

• University of Auckland

  MSc, Computer Graphics

• University of California, Berkeley

  Certificate Program in Leadership and Management, Organizational Leadership

  2016

• University of Auckland

  BSc (hons), Computer Science

• Stanford University

  PhD, Machine Learning and Computational Biology

Skills

• Machine Learning
• Artificial Intelligence
• Text Mining
• Semantic Web
• Software Development
• Algorithms
• Data Mining
• Software Engineering
• Computational Biology
• Statistics
• Natural Language Processing
• Agile Methodologies
• Semantic Technologies
• Information Retrieval
• Mapreduce
• Big Data
• Python
• Distributed Systems
• Bioinformatics
• Optimization
• Hadoop
• User Experience
• Ontologies
• Pattern Recognition
• Scalability
• Experimental Design
• Genetic Algorithms
• Systems Biology
• Mahout
• Algorithm Design
• Information Extraction
• Recommender Systems
• Computational Linguistics
• Data Visualization
• Parallel Computing
• Nosql
• Neural Networks
• Scrum
• React
• Continuous Integration