Param has over 20 years of hands-on and leadership experience in information technology projects with Silicon Valley companies such as Sun Microsystems, Oracle and other startups. Param has done Masters degree in Systems Engineering and MBA from San Jose State University, California, USA. At Xen.AI, Param is leading a passionate group of Machine Learning engineers and Data Scientists to develop innovative solutions using AI, Machine Learning, Deep Learning and Data Science technologies to help our clients improve the efficiency and reduce the operating cost. Please feel free to reach out to Param at Param@xen.ai to explore opportunities to apply AI technologies.

Dr. Bhrigu has over 20 years of Data, Engineering, Product leadership experience, including managing large engineering teams involving building and implementing predictive models and machine learning. He is passionate about helping organizations solve challenges and become more efficient by deploying machine learning. Prior to Xen.ai, Bhrigu was Vice President, Software Engineering at Sony New Media Solutions and Executive Director, Sony Pictures where he was leading large teams. Bhrigu has his PhD in Computer Science from University of California, Riverside and Data Science Specialization from Harvard University. Bhrigu is also adjunct faculty at the Computer Science Department at California State University, Dominguez Hills.

Vishal Shah is a global technology expert with over 20 years of experience in launching billion dollar products in mobile devices, enterprise SaaS solutions, IoT/Wearables for enterprise and AI/ML. Currently as CEO of MAAV Global, an investment and advisory firm for startups and F1000 companies, Vishal has had successful exits and has helped startups scale to multi-million dollar revenue models and partnerships in less than a year. Vishal was Vice President of Business Development at Atheer, an innovative start-up in the Silicon Valley, where he helped the company scale its revenues and develop partnership and product strategy. He has also held executive roles in strategy, business development and product management at Motorola and Qualcomm. He has a strong track record in developing mobile products and managing cross-functional teams. He has a 20+ year track record of successfully conceptualizing and launching consumer electronics products, software and cloud services in the mobile, wireless and media and IoT space.

Babu Arunachalam has more than 20 years of experience in engineering leadership at VizExplorer, Broadcom, Nokia, Ericsson and Qualcomm. Babu has led several engineering teams on projects small and large distributed in various countries. He has experience and expertise in a breadth of technologies - data analytics, data visualization, machine learning, databases, micro services, distributed systems, low level firmware on embedded devices and wireless protocols. Babu has a Masters degree in Computer Science from the University of Southern California and a Bachelors degree in Electronics and Communications Engineering from National Institute of Technology, Trichy, India.

Dr. Ahmed obtained his PhD in Electrical Engineering with focus in Atomic Physics for Quantum Computing and Quantum Simulation. He developed a new approach for Atom computing using magnetically confined quantum degenerate gases, such as Bose-Einstein Condensates. He also obtained his first postdoctoral degree from University of California Berkeley working with Ion-Traps for quantum computing and his second postdoctoral degree from Stanford University in the field of Atomic Clocks. He holds two masters degrees, one in Scientific Computing with focus in High Performance Computing and Artificial Intelligence, his second masters degree is in Applied Physics. After his graduation from Stanford University he joined a startup company in Silicon Valley and worked in the Big Data technologies. Also, Dr. Ahmed worked as a Big Data, Artificial Intelligence, Systems Engineer with American Express. He developed large scale machine learning systems and ultra-high frequency real time predictions. Dr. Ahmed built machine learning models to provide risk assessment, market movement time-based prediction as well as system hardware and network real time diagnostic for failure-prevention.

Dr. Dmitry Bandurin has solid experience in experimental research, data analysis and modeling. He is a co-author of many software packages in physics experiments, industry and SaaS analytical platform developed in the digital advertising field. He has done practical application of various machine learning techniques and live data monitoring. He wrote software codes to control hardware operation. Dr. Dmitry was the leader of data science group and a few algorithmic and physics groups at Fermi National Accelarator Laboratory. He has supervised many undergraduate/PhD students, data scientists and interns in various projects. Dr. Dmitry is the primary author of many papers published in major peer-reviewed physics journals with application of machine learning algorithms.

Vijay Perincherry is an Applied Mathematician who specializes in behavioral and cognitive analyses, and their applications to the design of learning systems. Over the last 20 years, he has applied data analytics to a wide array of fields ranging from investment analysis to educational effectiveness. He is currently involved in leveraging AI/ML techniques to develop and deploy innovative and scalable solutions to complex problems that rely heavily on human expertise and judgement. Vijay holds five patents all related to mathematical frameworks to understand human behavior and has published several papers in the area. He has an Engineering degree from the Indian Institute of Technology, Madras in India and Master's degree and Ph.D. in Applied Mathematics from the University of Delaware.

Dr. Tom is a very experienced hands on Technology Manager and Data Scientist with PhD in Computer Science who enjoys architecting and building cutting edge interactive tech including Machine Learning, Big Data, mobile, web applications and ecommerce systems. Tom possess strong leadership skills and excel at collaborating and communicating with non-technical colleagues. Tom is an expert in Java, PHP, Javascript and web-based and mobile phone technologies and understand the business ramifications of accurate, reliable, and efficient programming. Tom is a motivated and meticulous team leader who believes in both effective time management, realistic development timelines, scalable code, and well-documented design. Tom is a hands on programmer and architect and team leader with active long term product and personnel development management and day-to-day programming, operational, and internal request support. Tom has experience in both agile software development, enterprise level development, and leveraging open source solutions as well as superior communication skills to successfully interact with non-technical members any team. Specialties: Hadoop/MapReduce, Cassandra, MongoDB, PHP, Java, J2EE, Spring, Hibernate, EJBs, Jsps, JDBC, JMS, Java Servlets, Perl, Javascript, XML/RSS, PHP, Oracle, Sybase, SQL Server, mySQL, MS Project, Excel, PowerPoint, Visio, Apache, WebSphere, iPlanet, Weblogic, IIS 6.0, Vignette 6.0 Story Server, PeopleSoft, ColdFusion, Visual Studio, Team Foundation Server, Brightcove CMS, Interwoven, Flash, Action Script, FLEX, Sharepoint, Struts Framework

Dr. Soharab Hossain Shaikh is an academician and researcher in Computer Vision and Image Processing. At present he is working as an Assistant Professor, CSE at BML Munjal University, Gurgaon. Prior to this, he has served as a faculty member at NIIT University, Neemrana; University of Calcutta and other two reputed engineering institutions in Kolkata. Earlier, Dr. Shaikh had received a grant from the Ministry of Education for Universities and Research, Italy and pursued as a Research Associate in University of Venice, Italy. His area of research includes – image segmentation, applied machine learning for computer vision and NLP in the context of Indian language. He has received PhD degree from University of Calcutta. During his doctoral studies, he worked in collaboration with the AGH University of Science and Technology, Poland. Dr. Shaikh has been involved in other professional activities including organizing conferences/workshops; serving as reviewer for international journals/conferences, working as a guest-editor for a journal published by Springer-Verlag. He has published more than twenty research papers in international journals and conferences; written two books related to image processing published by Springer-Verlag and also contributed a chapter on behavioural biometrics published by the CRC press. He holds a US-Patent in his area of competency. During leisure time, he enjoys playing mouth organ, composing songs, listening to music and reading books. Dr. Soharab Hossain Shaikh is an Advisor and Consultant at Xen.ai.

Samarth has done his masters degree from IIT Madras and Bachelors degree from NIT, Bhopal. Samarth has hands on experience in Data Science and analytics field, synthesizing data, defining the problem, feature engineering, building the model, deploying the same in production. He is skilled in implementing machine learning techniques and working with large unfiltered data sets using distributed computing tools such as Google’s Tensorflow. He is experienced in Machine learning building applications and important features for AI Platform. Also, he is well aware of other Machine Learning frameworks like Caffe, Theano, MXNet, and Pytorch etc.

Experienced Development Manager with a demonstrated history of working in the professional training & coaching industry. Skilled in Training Delivery, Employee Training, Training Needs Analysis, Customer Relationship Management (CRM), and Recruiting. Strong human resources professional with a BS focused in Information Systems from BITS Pilani.

Dr. Georgy Golovanov has hands-on experience in data analysis, data acquisition and software development. He received his Ph.D in particle physics with practical application of various machine learning techniques and algorithms. Dr. Georgy carried out research for over 13 years in world-famous physics labs in Russia (JINR), Switzerland (CERN), Germany (GSI), and USA (Fermilab) with a strong interest in Data Science and Machine learning application in data analysis and modeling of physics processes, collecting and processing raw data. He is a co-author of wide range of software tools for data analysis, data acquisition as well as hardware components. He published original results in leading peer-reviewed physics journals.