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Hi, I'm David Buchfuhrer, an experienced AI and machine learning engineer with a strong background in developing innovative ML models and data-driven solutions. I've worked across various industries to build scalable AI systems that improve efficiency, accuracy, and customer engagement. I thrive in collaborative environments and enjoy leading teams to deliver impactful business outcomes. With a Ph.D. in Computer Science and extensive hands-on experience in cutting-edge technologies, I am passionate about leveraging AI responsibly and effectively. I'm always eager to connect with others in the tech community and explore new challenges that push the boundaries of what's possible with data and AI.…Hi, I'm David Buchfuhrer, an experienced AI and machine learning engineer with a strong background in developing innovative ML models and data-driven solutions. I've worked across various industries to build scalable AI systems that improve efficiency, accuracy, and customer engagement. I thrive in collaborative environments and enjoy leading teams to deliver impactful business outcomes. With a Ph.D. in Computer Science and extensive hands-on experience in cutting-edge technologies, I am passionate about leveraging AI responsibly and effectively. I'm always eager to connect with others in the tech community and explore new challenges that push the boundaries of what's possible with data and AI.

David Buchfuhrer

AI Engineer, Data Scientist, AI Developer, +3

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Hi, I'm David Buchfuhrer, an experienced AI and machine learning engineer with a strong background in developing innovative ML models and data-driven solutions. I've worked across various industries to build scalable AI systems that improve efficiency, accuracy, and customer engagement. I thrive in collaborative environments and enjoy leading teams to deliver impactful business outcomes. With a Ph.D. in Computer Science and extensive hands-on experience in cutting-edge technologies, I am passionate about leveraging AI responsibly and effectively. I'm always eager to connect with others in the tech community and explore new challenges that push the boundaries of what's possible with data and AI.…Hi, I'm David Buchfuhrer, an experienced AI and machine learning engineer with a strong background in developing innovative ML models and data-driven solutions. I've worked across various industries to build scalable AI systems that improve efficiency, accuracy, and customer engagement. I thrive in collaborative environments and enjoy leading teams to deliver impactful business outcomes. With a Ph.D. in Computer Science and extensive hands-on experience in cutting-edge technologies, I am passionate about leveraging AI responsibly and effectively. I'm always eager to connect with others in the tech community and explore new challenges that push the boundaries of what's possible with data and AI.

Available to hire

Hi, I’m David Buchfuhrer, an experienced AI and machine learning engineer with a strong background in developing innovative ML models and data-driven solutions. I’ve worked across various industries to build scalable AI systems that improve efficiency, accuracy, and customer engagement. I thrive in collaborative environments and enjoy leading teams to deliver impactful business outcomes.

With a Ph.D. in Computer Science and extensive hands-on experience in cutting-edge technologies, I am passionate about leveraging AI responsibly and effectively. I’m always eager to connect with others in the tech community and explore new challenges that push the boundaries of what’s possible with data and AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at WellCare

February 1, 2021 - March 31, 2025

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. Extracted insights from complex datasets to enhance decision-making and efficiency using machine learning and NLP techniques. Developed and fine-tuned Generative AI models for synthetic data creation to improve training datasets while ensuring privacy compliance. Served as Scrum Master, leading Agile ceremonies and boosting team productivity by 25%. Enhanced cybersecurity for government entities with compliance in collaboration with NIST. Established data governance and quality assurance practices, reducing discrepancies by 25%. Conducted A/B testing and hyperparameter tuning, improving predictive accuracy by 20%. Presented technical findings to stakeholders to foster a data-driven culture and drive revenue growth.

Senior Machine Learning Engineer at Amazon

May 1, 2019 - December 31, 2020

Consulted for Provident Bank developing mathematical models and ML algorithms improving operational efficiency by 20%. Created interactive PowerBI visualizations to convey complex analytics, driving a 6% increase in actionable business strategies. Conducted data analysis using Random Forest and K-Means over 10,000 accounts, supporting strategic planning. Designed ML models that improved financial performance forecasting accuracy by 25%. Collaborated with Operations and Treasury teams to implement analytics-driven solutions increasing data-driven initiatives by 15%.

Machine Learning Engineer at Coffee Meets Bagel

November 1, 2016 - April 30, 2019

Developed ML models and algorithms for dating profile ranking and recommendation systems, increasing user engagement by 25%. Applied NLP techniques (LSTM, ELMo) for profile and message analysis to enhance content relevance. Optimized AI visual search tools resulting in 20% increased match success. Engineered scalable data pipelines handling 1 million interactions for real-time responsiveness. Collaborated cross-functionally translating business needs into ML solutions. Leveraged ensemble and multi-modal learning to improve user feedback by 15%. Implemented monitoring and anomaly detection systems ensuring model fairness. Migrated ML deployment to cloud-first architecture improving resilience by 30% and reducing costs by 20%. Mentored junior engineers fostering a culture of innovation.

Machine Learning Engineer at Wells Fargo

May 1, 2011 - September 30, 2016

Created TensorFlow-based ML models improving real-time fraud detection and reducing fraud losses by 20%. Developed AI-driven chargeback automation reducing manual processing time by 30%. Built predictive models utilizing geolocation and device intelligence, increasing transaction approvals by 15% with regulatory compliance. Designed algorithms to detect and prevent account takeover fraud through user behavior analytics and threat intelligence. Led ML framework integration into existing systems with Apache Spark and AWS SageMaker, implementing real-time data processing with Apache Kafka to boost operational efficiency. Presented strategic insights to stakeholders driving data-driven practice adoption and improving satisfaction scores by 20%.

Senior AI Engineer at Wellcare

February 1, 2021 - March 31, 2025

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. Extracted insights from complex datasets using machine learning and NLP techniques. Developed and fine-tuned Generative AI models to create synthetic data while ensuring privacy compliance. Served as Scrum Master, leading Agile ceremonies and boosting team productivity by 25%. Enhanced cybersecurity and ensured compliance with NIST standards. Established data governance practices reducing discrepancies by 25%. Conducted A/B testing and model performance evaluations to increase predictive accuracy by 20%. Presented complex technical findings to stakeholders to drive revenue growth and operational improvements.

Senior Machine Learning Engineer at Amazon

May 1, 2019 - December 31, 2020

Supported Provident Bank as a consultant, developing mathematical models and ML algorithms that improved operational efficiency by 20%. Created interactive data visualizations with PowerBI, enhancing stakeholder understanding and driving a 6% increase in business strategies. Conducted data analysis using Random Forest and K-Means algorithms to identify trends across 10,000 accounts. Designed ML models increasing financial forecasting accuracy by 25%, facilitating better resource planning. Collaborated with Operations and Treasury teams to translate findings into practical solutions, resulting in a 15% increase in data-driven initiatives aligned with business goals.

Machine Learning Engineer at Coffee Meets Bagel

November 1, 2016 - April 30, 2019

Engineered ML models and algorithms for dating profile ranking and recommendation systems, boosting user engagement by 25%. Implemented NLP techniques with LSTM and ELMo to analyze user profiles and messages for relevant content surfacing. Optimized AI-driven visual search tools, enhancing user experience and increasing match success by 20%. Built and maintained scalable data processing pipelines handling 1 million interactions in real-time. Collaborated with cross-functional teams to translate business needs into ML solutions. Leveraged ensemble and multi-modal learning techniques to improve user feedback by 15%. Implemented monitoring and anomaly detection to ensure fairness and integrity of models. Transitioned ML deployment to cloud-first approach, improving resilience by 30% and reducing infrastructure costs by 20%. Mentored junior engineers to promote continuous learning and innovation.

Machine Learning Engineer at Wells Fargo

May 1, 2011 - September 30, 2016

Created TensorFlow-based ML models to improve real-time fraud detection, reducing fraud losses by 20%. Developed AI-driven charge back automation, decreasing manual processing time by 30%. Used advanced analytics and device intelligence for predictive models to increase transaction approval rates by 15% while ensuring SCA compliance. Designed algorithms to prevent account takeover fraud using behavioral and historical data. Led integration of ML frameworks into existing systems with Apache Spark and AWS SageMaker, and implemented real-time data processing with Apache Kafka, enhancing operational efficiency. Delivered strategic insights to stakeholders, increasing project alignment and satisfaction scores by 20% within six months.