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David Buchfuhrer

@davidbuchfuhrer

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Senior AI Engineer specializing in machine learning and data-driven solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and machine learning.

I am a Senior AI Engineer with extensive experience in developing and deploying machine learning models that drive operational efficiency and enhance decision-making. My journey began with a Ph.D. in Computer Science from the California Institute of Technology, where I honed my skills in advanced analytics and machine learning algorithms. Over the years, I have architected innovative solutions for leading organizations, including WellCare and Amazon, achieving significant improvements in performance and accuracy.

At WellCare, I led the development of a risk assessment and fraud detection ML engine that reduced claim processing time by 30%. My role as Scrum Master allowed me to enhance team productivity by 25%, fostering a collaborative environment that emphasized Agile methodologies. I have a proven track record of translating complex data insights into actionable business strategies, ultimately driving revenue growth and operational improvements.

My experience spans various industries, where I have successfully implemented machine learning solutions that not only meet business objectives but also ensure compliance with industry regulations. I am passionate about mentoring junior engineers and fostering a culture of continuous learning, ensuring that innovative practices are shared and adopted across teams.

Experience

Work history, roles, and key accomplishments

Senior AI Engineer

Wellcare

Feb 2021 - Mar 2025 (4 years 1 month)

Architected and deployed a risk assessment and fraud detection ML engine on AWS using SageMaker, Lambda, and Comprehend, achieving a 30% reduction in claim processing time and enhanced accuracy in identifying fraudulent claims. Developed and fine-tuned Generative AI models to create synthetic data, improving training datasets and enhancing model robustness while ensuring privacy and compliance wit

AWS Sagemaker Lambda Comprehend Generative AI Machine Learning NLP Scrum Data Governance A B Testing

Senior Machine Learning Engineer

Amazon

May 2019 - Dec 2020 (1 year 7 months)

Supported Provident Bank as a consultant and developed robust mathematical models and machine learning algorithms that improved operational efficiency by 20%, optimizing resource allocation and process workflows. Created interactive data visualizations using PowerBI to present complex analytical results and machine learning findings, enhancing stakeholder understanding and driving a 6% increase in

Mathematical Modeling Machine Learning Algorithms Power BI Data Visualization Statistical Methods Random Forest K Means Data Analysis Strategic Planning

Machine Learning Engineer

Coffee Meets Bagel

Nov 2016 - Apr 2019 (2 years 5 months)

Engineered ML models and algorithms for dating profile ranking and recommendation systems, boosting user engagement with relevant matches by 25%. Implemented NLP techniques using LSTM and ELMo models to analyze user profiles and messages, enabling the search engine to surface the most relevant and engaging content for users.

Machine Learning NLP ELMO Visual Search Anomaly Detection

Machine Learning Engineer

Wells Fargo

May 2011 - Sep 2016 (5 years 4 months)

Created ML models with TensorFlow to improve real-time fraud detection, using transaction data, user behavior metrics, and historical fraud cases, resulting in a 20% reduction in fraud losses. Collaborated with product managers and engineers to create AI-driven charge back automation and utilized insights from account information and payment gateway logs, resulting in a 30% decrease in manual proc

TensorFlow Fraud Detection Device Intelligence Apache Spark AWS Sagemaker Apache Kafka Data Driven Machine Learning

Education

Degrees, certifications, and relevant coursework

California Institute of Technology

Ph.D. in Computer Science, Computer Science

Completed a Ph.D. in Computer Science, focusing on advanced research and theoretical concepts within the field. Developed expertise in complex computational problems and innovative solutions.

California Institute of Technology

M.S. in Computer Science, Computer Science

Obtained a Master of Science degree in Computer Science, deepening knowledge in various sub-disciplines. Engaged in rigorous coursework and projects to enhance technical skills.

Harvey Mudd College

B.S. in Computer Science, Computer Science

Earned a Bachelor of Science in Computer Science, building a strong foundation in programming, algorithms, and data structures. Participated in foundational courses and practical applications.