Machine Learning

Flash memory, EPROM, Cryptography, ASIC, serial ATA, PCI, Cyber security, 802.11ab/g (wireless LAN), 802.3ae(10G Ethernet), Semiconductor failure analysis/Production/Manufacturing
MSEE, 20 yrs of experience, Forensic investigator, lecturer
Intel, AMD, Philips
Big Data, Kafka, Spark, Hadoop, MapReduce, MapR, Hive, Pig, Sqoop, Flume, HBase, Cassandra, Distributed and grid computing, AWS (S3, EC2), high-performance multi-threaded applications, data mining, text analytics, mathematical optimization, linear and dynamic programming, Visualization (Tableau)
• Total number of Hadoop clusters set up so far: 125+
• Creator of an eDiscovery/Enterprise Search solution, (Hadoop, Lucene, Solr, HBase, EC2, S3, text analytics, document classification)
• Co-author of books on HBase and Hadoop
• Big Data books reviewer
• Cloudera Certified Hadoop Administrator
• Java Programmer Certification, SUN
• MSCD (C++, VB path) Certification (Microsoft)
• Halliburton • Shell Oil • Merryl Lynch • Bank of America • Intel

Hands-on Software Architect and Data Scientist
Performed Hadoop/Cloud consulting projects for various large corporations.
Total number of Hadoop clusters set up so far: 125+
Creator of an eDiscovery/Enterprise Search solution, (Hadoop, Lucene, Solr, HBase, EC2, S3, text analytics, document classification)
Co-author books on HBase and Hadoop
Big Data books reviewer
Certified Cloudera Hadoop Administrator
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• Financial risk assessment/management, • Loan pricing, • Statistical machine learning, • Fraud detection models, • Credit models, • Automated valuation models, • Structured/unstructured data processing, • Fintech compliance, • Financial portfolio management, • Lending platform development, • Marketing analytics, • Data-driven optimization
• Recipient of numerous awards;
• 35+ publications
• FICO • CoreLogic

PhD, 15 years FinTech experience – data, credit & fraud models, accounting, compliance, portfolio management, vendors, lending platform development, credit risk, fraud prevention, prospecting
Expert in online and offline marketing analytics and data-driven optimization.
Extensive machine learning, text analysis, and statistics background.

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• Antenna • High power amplifiers, • RF circuits • Mobile base station physical layer
• 5 issued patents
• 48 + published patent application
• InterDigital • Motorola • Pagenet • GTE Spacenet

Over 30 years of experience
Unique blend of technology plus business expertise
Extensive mobile, satellite, IoT, security, and machine learning experience

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C/C++/Python, Embedded Systems, NX Os, Switching/Routing Software, Mobile Applications (Android), Device Drivers, Distributed Systems and Parallel Programming, CUDA, Machine Learning, Deep Learning and Computer Vision, Gesture, Face and Emotion Recognition.
• 2 granted patents
C/C++/Python, Embedded Systems, NX Os, Switching/Routing Software, Mobile Applications (Android), Device Drivers, Distributed Systems and Parallel Programming, CUDA, Machine Learning, Deep Learning and Computer Vision, Gesture, Face and Emotion Recognition.

Experienced principal engineer with emphasis in embedded systems and data science applications.
15 years of experience in coding and leading software design/development of complex technical projects.
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