Uday Kamath, Ph.D. Email & Phone Number

Portland, OR, US

Cupertino, California, US

Franklin, TN, US

Responsible for Machine Learning Products and Innovation leveraging AI Techniques such as Deep Learning and Statistical Machine Learning for improving human communications through speech, images, text in wide domains of Financial Compliance, Healthcare, and Government. Structured and Unstructured Behavioral Profiling, Multimodal and Multitask Learning.

Guildford, Surrey, GB

Responsible for Analytics in different products and platforms in BAE Systems Applied Intelligence, Commercial Solutions. Products have wide applications in different verticals such as Financial Crime (Fraud, Compliance, Insurance, etc.), Cyber Security, Communications Intelligence and Digital Transformations. Involved in pre-sales, sales, product.

Guildford, Surrey, GB

Involved in Product Development and Architecture for Finance, Insurance and Healthcare for Fraud and Suspicious behavior detection. Scalable machine learning and evolutionary optimization implementations for learning from data using behavioral patterns and social networking. Technologies like Stream Learning, automated tuning, drift detection, massive.

Guildford, Surrey, GB

* Building Scalable and Robust Detection Engine applied to deposit, credit,debit, online and payment frauds. * Design and Implementation of Analytics Algorithms for Fraud Detection. Hidden Markov Models, Markov Chains, Outlier Detection, Density based clustering.* Customer Solution and Deployment Architecture for large deployments.

Dublin, IE

1) Building Generic Analytical Framework for Predictive Modeling using Machine Learning Algorithms, Statistical Algorithms and Evolutionary Methodologies. Implemented domain specific Bayesian, Rule Induction, Neural Network, Regression and Clustering. Framework used in Fraud detection in Financial (Credit/Debit/Check/Internal/Application/Online) and Health.

Mclean, Virginia, US

Responsible for building Unified Data/Workflow/Rules framework that works on leading application servers. Federated Query across multiple databases, Web Services and XML providers integrated with Workflow and Rules Engine were key features. The framework was used in various Government and Intelligence Agencies, and in big financial institutions.

Armonk, New York, NY, US

Raleigh, North Carolina, US

Munich, DE

Ph.D, Computer Science

Ms, Computer Science

B.E, Electronics

Bs, Electronics

Education record