"Tethr and Creovai's vision is a world where every company listens, and every customer is heard. Creovai is a cloud-based conversation intelligence platform that combines powerful AI, machine learning, and decades of customer experience research to surface contextual insights from phone calls and other customer interactions and provide interactive coaching and agent enablement. Customers are using Creovai to quickly, easily and accurately turn large amounts of unstructured voice of customer conversation data into insights that fuel smarter decisions and improved business performance, enabling them to become Listening Enterprises"Responsibilities: Design and implement new and improved technologies for machine learning and speech analytics.Accomplishments:Invented, designed and implemented innovative technologies and methods, including:Programmable audio filter pipeline to improve automatic speech recognition accuracyHigh-performance Natural Language Processing library for large corpus data sets Mathematical modeling library for solving large-scale mixed language and data models using artificial neural networks, regression, graph regression, and hidden Markov modelsProgrammable statistical library for analyzing call center interactionsMethod for combining outputs of multiple Automatic Speech Recognition engines to improve accuracySemi-automated method for detecting bot and script-based fraud in chat and call interactionsMethod for building and applying predictive neural network models using mixed text and data to optimize customer outcomes, (US Patent 12,131,272 B1)Improved efficiency, cost, and customer outcomes via in-depth analysis of call center conversation data and creation of highly accurate predictive language models for customer effort, satisfaction, sentiment, sales, quality assurance and churn risk for multiple Fortune 500 and 100 companies Won competitive language and data modeling bid with Fortune 100 company against multiple competing teams

Responsibilities: Research and development in 3D spatial audio, Voice Over IP (VoIP), and Digital Signal Processing (DSP)Accomplishments:Created new technologies for Acoustic Echo Cancellation (AEC), Automatic Gain Control (AGC), high-performance Digital Signal Processing (DSP) in time and frequency domains, high-scalability 3D spatial audio for large scale audio conferencing platform, SIP, Radio Over IP (Roip) for US Strategic Operations Command (SOCOM) and Voice over IP (VoIP) applications.30% improvement in server performance and scalability.Member:Audio Quality GroupAudio Experts Group

Responsibilities: Research and development in 3D spatial audio, Voice Over IP (VoIP), and Digital Signal Processing (DSP)

Responsibilities: Custom R & D and consulting servicesAccomplishments:Developed advanced algorithms and software for vector math applications, adaptive AI, and cluster-based simulation.Developed and built an automated behavioral testing system for neuroscience research at Arizona State University

Responsibilities: Develop new technologies for the game and animation industryAccomplishments:Developed advanced algorithms and software for geometry processing, high-performance math applications, AI, machine learning, collision avoidance, collision detection, physics simulation, guidance and flight control, data streaming and compression, graphics and visual effects, animation, motion capture and inverse kinematics (IK)Created core technologies and game-play logic for 12 of the company's top selling AAA game titlesSignificantly improved performance and flexibility of the company's core game engine technology

Responsibilities: Lead a team of software engineers producing cutting edge raster to vector conversion technologies and architect new product features.Accomplishments:Lead a team of 10 engineers as manager, architect, and technology lead, producing the company’s raster to vector conversion productsDeveloped new technologies for handwriting and symbol recognition and image processing and feature extraction.

Responsibilities: To work as part of a team developing mathematical models, algorithms, and software in the fields of computer vision and artificial intelligence for an autonomous underwater vehicle project under the Office of Naval Research (Grants N00014-88-K-0603 and N00014-91-J-1456) Accomplishments:Developed mathematical models and software for shape recognition, abstract object categorization/classification, and inference generation, object segmentation, transformational invariance, path planning and navigation, collision avoidance, adaptive spatial mapping, multi-modal sensory integration, cluster-based image processing and computer vision.Designed and built an interactive hardware control and communications interfaces between a Silicon Graphics Power Series computer and Benthos Mark II submersible and a vector graphics display system for use in psycho-physical researchGraduate teaching assistant – taught lab section for upper level Research Methods course