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About
Arthur’s AI & ML Engineering Qualifications
Experience level: Executive
Welcome to my profile! With a Doctorate from the University of Pennsylvania and over two decades of experience in AI and machine learning, I bring a wealth of knowledge to help you excel in your AI/ML engineering career. As a Lead AI Engineer at a Stealth Startup, I architect cutting-edge cognitive architectures and design scalable ML pipelines. My previous roles at Western Asset Management and Microsoft involved deploying high-accuracy predictive models and developing end-to-end big data solutions. I have coached numerous individuals, guiding them through complex AI strategies and infrastructure modernization. Whether you're looking to refine your skills or break into the industry, I'm here to help you achieve your goals. Let's connect and create a tailored plan for your success!
Work Experience
Lead AI Engineer
Stealth Startup
November 2023 - Present
• Architect novel hybrid AGI frameworks integrating generative models, fuzzy logic, and graph-based reasoning for next-generation cognitive architectures. • Design scalable ML pipelines leveraging PyTorch and transformer-based models for real-time knowledge graph augmentation and diffusion modeling. • Lead end-to-end research-to-deployment cycle across distributed systems, including model optimization for performance and energy efficiency on GPU clusters.
Risk Management Machine Learning Quant
Western Asset Management
April 2018 - October 2023
• Designed and deployed machine learning models to predict risk weights of fixed-income securities, achieving >99% out-of-sample accuracy. • Developed NLP-driven compliance automation tools reducing global regulatory review time from 2 weeks to under 30 minutes. • Built predictive cash flow forecasting models integrating market, client, and transaction data streams — improving operational efficiency by 40%. • Collaborated with senior portfolio managers and IT to productionize models across internal analytics infrastructure.
Senior Manager|Senior Specialist
Publicis Sapient
July 2017 - March 2018
• Led cross-functional ML teams developing deep learning NLP platforms for automated email classification used by Fortune 500 clients. • Designed and implemented product recommendation engines for asset management clients, delivering deployment-ready solutions across cloud and on-premises systems. • Advised executive stakeholders on AI strategy, data governance, and infrastructure modernization.
Data Solution Architect
Microsoft
December 2015 - May 2017
• Developed and presented end-to-end big data and ML solutions using Azure ML, Cognitive Services, and Cortana Intelligence Suite to enterprise clients. • Created fraud detection and recommendation system prototypes processing hundreds of millions of transactions annually with significant uplift in accuracy and ROI. • Spearheaded BI and real-time data visualization systems for national mortgage and transportation clients using Power BI, Azure Data Factory, and SQL pipelines.
Sr Data Analyst
OpenX Technologies
December 2014 - June 2015
• Analyzed 100+ billion monthly RTB transactions to optimize advertiser and publisher outcomes using R, Python, and Hive. • Developed statistical models to increase ad exchange revenue and buyer efficiency across high-frequency bidding systems.
Senior Quant Software Engineer
Wilshire
December 2005 - September 2014
• Engineered quantitative optimization models in C++ and MATLAB for multi-asset portfolio management systems used by global institutions with AUM > $1T. • Enhanced mean-variance optimization algorithms with custom constraint support and turnover control, boosting performance by 1000% on large-scale equity portfolios. • Designed and optimized Java- and SQL-based multi-asset risk systems, improving computational efficiency by 50% and ensuring accurate performance attribution. • Provided leadership on migrating legacy optimization engines to state-of-the-art numerical solvers, enabling next-generation product capabilities.
Education
University of Pennsylvania
Doctorate , Physics
1997 - 2003
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