Deep Dhillon
Deep is a Xyonix co-founder and leads Xyonix technology development.
His mission is to find novel value in clients' data.
Deep is an accomplished technology executive with extensive experience conceptualizing, architecting and deploying advanced applications, leveraging machine learning, natural language processing and data science to build smarter businesses and more powerful products.
Deep’s prior experience includes multiple CTO and Chief Scientist roles at a range of venture funded companies.
Learn more about Deep and how his 20 year career in machine learning led to Xyonix in the short video below:
Carsten Tusk
Carsten is a Xyonix co-founder and advises Xyonix data science and engineering teams.
Carsten Tusk is an accomplished engineer and system architect. Carsten has extensive industry and research experience conceptualizing, architecting and deploying advanced machine learning applications. His areas of expertise include software architecture, distributed systems, cloud computing, machine learning, natural language processing, search systems and computer vision.
Carsten’s experience includes multiple senior engineering management and research scientist roles, experience with advanced systems for NLP based search, content-based image retrieval and significant work on a variety of government funded research grants.
Meet Carsten in under 2 minutes below, and learn how the study of physics is similar to the study of machine learning.
William Constantine
William, PhD, is an accomplished data scientist with a long history of developing and deploying commercial-grade software solutions. William is also a highly capable applied research scientist, having served as principal investigator for nearly a decade on numerous government contracts with various agencies including the National Science Foundation, United States Air Force, National Institutes of Health, and United States Census Bureau.
William earned his Ph.D. in Mechanical Engineering at the University of Washington with an emphasis in nonlinear dynamics, fractal time series modeling, and wavelet-based time series analysis.
Andy Skalet
Andy is a Xyonix Partner, managing multiple machine learning projects as well as advising marketing and strategic business efforts at Xyonix, as an entrepreneur at heart.
Andy is an experienced executive, technical leader and software architect. He has helped to create and build multiple successful startup companies. His technical specialities include distributed systems, scalability & performance, cloud computing, software engineering and machine learning.
Andy was previously Co-Founder and CTO at BrandVerity, sold in a strategic acquisition in 2020. He also previously worked with Deep and Carsten at Natural Language Processing startup Evri. He holds a BS and MS in Computer Science from the University of Colorado at Boulder.
Bharath Modayur
Bharath Modayur, Ph.D., helps Xyonix clients find novel value in their data.
Bharath is a senior technologist with practical experience incubating, developing and commercializing new applications. His expertise includes artificial neural networks, artificial intelligence, computer graphics and the visualization of complex data, and building large systems from disparate software components.
Bharath’s experience includes founding an NIMH funded startup which leverages machine learning techniques for early detection of autism spectrum disorders.
Bharath is an Affiliate Assistant Professor of EE at the University of Washington.
In the short video below learn what Bharath has seen in more than 25 years in machine learning including how little data was required for a machine learning master's thesis in the late '80's and early '90's.
Jessie Dibb
Jessie Dibb is a marketing associate. She graduated from the Ohio State University in 2020 with a dual degree in Communication and English, and a specialization in Human-Computer Interactions. She is passionate about content marketing, creative writing, and communication strategy.
Nicola Anderson
Nicola Anderson is a marketing associate. She is currently pursuing a BS in Cell and Molecular Biology at Tulane University with minors in Environmental Studies and Economics and hopes to work in healthcare after graduation
Nazafarin Esfandiari
Nazafarin is a data annotator who helps label Xyonix client data so our client’s models learn and perform well. She is currently a Health Sciences student at Simon Fraser University, and her concentration is Population and Quantitative Health Sciences. Nazafarin is passionate about working with health data and modeling.
Raman Chandrasekar
Raman “Chandra” Chandrasekar, Ph.D., helps Xyonix clients find novel value in their data.
Chandra has a background in research and engineering management, with a focus on addressing real-world problems in natural language processing, information retrieval and machine learning. He has experience incubating and deploying applications in areas such as web-scale search, text mining, topical news dissemination and context extraction.
Chandra’s experience includes Research Scientist, Researcher and Engineering Manager roles at the University of Pennsylvania, Microsoft Research, Evri and ProQuest.
Learn what Chandra has seen in his nearly 30 year career in machine learning in the video below - and how machine learning systems are like little children.
John Patton
John helped co-found Xyonix and helps with Xyonix outreach and business development.
John is a serial tech entrepreneur with experience founding, building and selling technology companies.
John’s prior experience includes leading and developing multiple data-focused startups including SiteScout (high-volume automated malware search), Plurata (hard drive performance optimization using data-aware caching) and FriendlyFavor (social search).
Jay Bartot - ADVISER
Jay Bartot is an adviser to Xyonix.
Jay is a senior technologist and serial technology entrepreneur with experience building companies and platforms which leverage innovative data-mining and machine-learning technologies. Jay’s experience spans a range of verticals including eCommerce search, online advertising and metrics, travel, medical informatics and mobile videography.
Jay’s experience includes VP Data and Analytics (Hulu) and multiple CTO positions.
Shawn Rutledge - ADVISER
Shawn Rutledge is an adviser to Xyonix.
Shawn is an experienced machine learning practitioner and data scientist. His specialties include text mining & classification, predictive analytics and fraud and risk modeling.
Shawn is currently a Principal Data Scientist at kFold Enterprises.
Elliot Waldron - ADVISER
Elliott Waldron, Ph.D., is an adviser to Xyonix.
Elliott is a data scientist with over a decade of experience using quantitative analysis and machine learning to address real-world business problems including airfare prediction and financial market prediction.
Elliot is currently the Director of Analytics at Placed, a leader in location analytics.