Key Strengths

Extensive experience (26 years) in Machine Learning, Data Deduplication, and Record Linkage, directly relevant to Big Data Engineering.
Proven track record of leading scientific and engineering teams at major tech companies (Amazon, AWS, Microsoft).
Deep expertise in building and deploying large-scale data processing and ML systems, including AWS Lake Formation FindMatches.
Strong background in evolutionary algorithms and AI agent optimization (RoboPhD project).
Experience with Apache Spark and Scala, which are critical for Big Data Engineer roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong entrepreneurial spirit (CEO of ChoiceMaker Technologies, building RoboPhD) and a history of innovation. The diverse experience across large corporations (Amazon, Microsoft) and startups, coupled with a focus on cutting-edge AI/ML, suggests adaptability and a proactive approach to technology. The long tenure in data-intensive roles aligns well with the demands of a Big Data Engineer, indicating a strong fit for roles requiring deep technical contributions and leadership.

Soft Skills & Operational Fit

The candidate's career progression to Principal Scientist and CEO roles, along with leading significant projects, indicates strong leadership, problem-solving, and strategic thinking. The description of building and leading teams (e.g., Intelius' Data Research Group) suggests good team collaboration and mentorship capabilities. The independent expert witness role also highlights strong analytical and communication skills under pressure.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Andrew Borthwick

Big Data Engineer

https://www.opentalent.in/andrew-borthwick

Principal Scientist

Career Break

Greater Seattle AreaMember since June 24, 2026

https://www.opentalent.in/andrew-borthwick

About

Principal Scientist with SOTA research in evolving complex agents for any task. Demonstrated applications include data science, SQL generation, financial document QA, a major AGI benchmark, and protein classification. 25+ years transforming AI research into scalable, production-ready systems. Expertise in automatic machine learning, record linkage, text-to-SQL, and NLP. 15+ patents and 3000+ citations.

Top Skills

Apache Sparkfoundation modelsText-to-SQLClaude CodeCode GenerationAgentic AiArtificial Intelligence (AI)multimodalScalaTime Series Analysis

Skills

Apache Sparkfoundation modelsText-to-SQLClaude CodeCode GenerationAgentic AiArtificial Intelligence (AI)multimodalScalaTime Series AnalysisTime Series ForecastingMachine LearningNatural Language ProcessingPythonC++AlgorithmsJava

Education

New York University

PhD, Computer Science

January 1, 1993 – January 1, 1999

Oberlin College

B.A., History

N/A – Present

Experience

Career Break

Personal goal pursuit

August 1, 2025 – Present

Kirkland, Washington, United States

Auger

Principal Scientist

January 1, 2025 – July 1, 2025

Bellevue, Washington, United States · On-site

Amazon

Principal Scientist

January 1, 2020 – January 1, 2024

Seattle

Amazon Web Services (AWS)

Principal Scientist

January 1, 2019 – January 1, 2020

Greater Seattle Area

Amazon Web Services (AWS)

Senior Machine Learning Scientist

January 1, 2017 – January 1, 2019

Projects

RoboPhD: Evolving Diverse Complex Agents Under Tight Evaluation Budgets

August 1, 2025 – Present

If you can benchmark it, RoboPhD can optimize it. RoboPhD is an easy-to-use toolkit that evolves AI agents automatically — all you need is ~200 labeled examples, a short seed program (even one with poor accuracy), an evaluator, and a task description. This is a brand-new space, and our paper shows that RoboPhD outperforms two well-known competitors under matched budgets.

AWS Lake Formation FindMatches

June 1, 2018 – Present

AWS Lake Formation FindMatches is a new machine learning (ML) transform that enables you to match records across different datasets as well as identify and remove duplicate records, with little to no human intervention.

Key Strengths

Extensive experience (26 years) in Machine Learning, Data Deduplication, and Record Linkage, directly relevant to Big Data Engineering.
Proven track record of leading scientific and engineering teams at major tech companies (Amazon, AWS, Microsoft).
Deep expertise in building and deploying large-scale data processing and ML systems, including AWS Lake Formation FindMatches.
Strong background in evolutionary algorithms and AI agent optimization (RoboPhD project).
Experience with Apache Spark and Scala, which are critical for Big Data Engineer roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit