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. 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.

• Ph.D. in biophysics with more than 10 years’ experience in biomedical image/ spectroscopic analysis using statistical learning, traditional machine learning, and deep learning techniques • Possession of strong leadership, communication, and interpersonal skills for building strong and healthy relations with clinicians and collaborators, driving multi-disciplinary biological/ medical research and scientific assessments. • Experience and familiarity with open-source machine learning frameworks and libraries applied to diverse data types, including biomedical images, clinical records, and biochemical tests, for a number of analyses including regression, clustering, classification, segmentation, and detection. • Research project management in a team setting and an independent scientific report drafting, resulting in contribution to the field with 60+ peer-reviewed journal publications and conference presentations.

Huajun Zeng is an AI technologist with more than 20 years of technical experience in the areas of Artificial Intelligence, Search Engine, and Cloud Computing. Huajun was a founding member of Rulai Inc, an enterprise conversational computing platform. He led the research and development of core AI components of the product, including Natural Language Understanding, Knowledge Graph, Dialogue Modeling etc. Prior to joining Rulai Inc, Huajun served as the director of engineering of Alibaba. He was leading the development of OneSearch, Alibaba’s mobile search product. Before that, he was the principal development lead in Microsoft Azure, working on Microsoft’s next generation distributed system ServiceFabric. Even before that, he was the researcher of Microsoft Research Asia, and invented innovative technologies around search, machine learning, and big data. Huajun is the author of 40+ top research papers and the inventor of 50+ US patents. He is with strong hands-on coding capabilities and problem-solving skills. And he is also a contributor to several popular open source projects such as AllenNLP and ServiceFabric.

An experienced self-motivated technical leader with expertise in product conceptualization, Design and implementation, excellent strategic planning, scheduling, teamwork and problem solving abilities. Have lead large software design and development project. Successfully built a real-time AI/ML platform to extract actionable intelligence from traditional and alternate data. Developed actionable road maps and executed on the vision. The product was developed a data mesh on AWS tools, tensorflow, Keras, Databricks spark. Applied a breadth of data science methodologies as needed. evaluated, programmed, and commercialized, advanced machine learning models, including RPA, NLP, Neural Networks, and a wide variety of classification and predictive algorithms

Al comes to us with over 15 years of High Technology Sales Experience based out of The Pacific Northwest. Al has a deep understanding of digital automation and software integration. Al is an expert in SD-Wan, Networking, AI (Document recognition, NLP), RPA, Oracle including OPA(IA) as well as other software stacks. Al has worked for Companies such as AT&T Enterprise Solutions Manager, CenturyLink Business Enterprise Solutions Manager, and the last 2.5 years as Director of sales for Speridian technologies. Al has extensive background working with different verticals such as, Manufacturing, Healthcare, Food and Beverage, High-Tech, Aerospace, State and Local Government, and the Financial sector. In his free time Al coach’s youth basketball, and weightlifting.

Bharat Rajghatta (BR) graduated with a B.S., in Engineering from Bangalore University and an MBA., from Michigan Technological University/University Of Toledo. He has over 20 years of experience working in Engineering, Program Management, Business Development and Strategic Planning in the Automotive Industry. BR was involved in the launch of the Ford F-150 Electric Modular Hybrid Transmission. He worked with Hitachi Engineering to finalize technical specifications (mechanical, chemical, electrical and thermal ) for the magnet wire used in the electric motor. Worked with manufacturing and quality control in deploying a smart (AI) accelerometer to monitor surface defects. At Navistar International, he managed a team of engineers in developing truck - frame, fuel, brake, steering, engine, cooling, exhaust, transmission, clutch, axles and suspension sub-systems for new global programs. Oversaw concepts, prototypes, detailed design, validation, homologation and launch of new heavy duty trucks. Successfully launched the Caterpillar-610 (Class-8) in Australia and DuraStar (Class-6) in Brazil. At Dana Corp., he successfully launched the Jeep Wrangler Axles and set up a new facility in India to manufacture axles for the Tata Ace light truck. In his free time, BR enjoys biking and tennis.

Rippal Suneja is bringing us more than three decades of rich Business Building experience in Telecom, IT/Software/Financial Services, with his expertise is Sales, GTM Strategist, Client Acquisition, C-Suite connect, Leadership/Team Building Training and Developing training programs. Rippal has been in leadership roles for more than two decades, and has been a Business Hunter and Turnaround Specialist, working in Corporate India. He has global and PAN India experience in generating business in Telecom infrastructure services. Rippal graduated with a Master of Business Administration – Finance from Newport University, California and also Dr. John C. Maxwell Certified Trainer, Coach & Mentor in Leadership, Communication, Team Building, etc, he has been Training & Coaching professionals from the Corporate C-Suite levels and Graduating Students from Professional and Academic Universities. Rippal has keen interest in archeology, exploring mysteries of Space, and being in nature.

Dr. Satya has over 18 years of Data Science experience at various levels, including 9 years of experience in creating and leading data analytics programs in large organizations from conception to conclusion. He is passionate about helping organizations solve challenges and deploying machine learning. Prior to Xen.AI, Satya lead data science engagements at Air Products, Orbytel Group, UPS, Prudential Financial, Select Systems, Rodale, BehaviorMatrix, Trendium, TargetRx, and Nielsen. Satya has his PhD in Industrial Engineering & Management from IIT Kharagpur, and Post Doctoral from The Hong Kong University of Science and Technology. Dr. Satya has patent, papers published in major peer-reviewed Journals: IEEE, Applied Statistical, and conferences.

Dr. Svetlana Kharlamova is a Ph.D. quant and Data Scientist with rich experience in experimental research, data analysis, and quantitative predictive modeling. In the past she has conducted scientific research at Argonne National Laboratory. Dr. Kharlamova has an outstanding record developing quantitative models and analytics solutions for global leaders in academia, financial services, media advertisement, and MRO industries. Dr. Kharlamova is a proven data science leader with an extensive experience translating sophisticated mathematical theories into practical use. Dr. Kharlamova leads research projects and groups of data scientists as well as supports scientific collaboration in advanced mathematical modeling. She has been teaching Machine Learning at Berkeley University School of Information. Dr. Kharlamova advises leaders of start-ups and emerging technology companies. She is a primary author or co-author of more than 20 scientific papers published in major peer-reviewed physics journals, holds a patent and has another patent pending. Reported at major international scientific conferences.

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.

Ray is an innovative Data Scientist and Product Leader with a strong track record of delivering high-impact products to market. Ray believes the apex of innovation is at the intersection of vision, execution and science, thus, he excels at distilling client and industry needs then applying advanced Artificial Intelligence technique to create value. Ray domain expertise is in the Video Ad Tech and Media space, allowing marketers to efficiently reach their desired audience at all levels of the marketing funnel. Ray has a lot of experience in developing audience, viewership and demand advanced prediction AI models as well as optimal resource allocation using Linear Programming.

Temesgen received his Ph.D. in Computer Science and Engineering from Ajou University in South Korea, where he completed a postdoctoral fellowship in the field of computer Engineering. He worked as a research professor in the Ubiquitous Software Convergence Research Institute of Ajou University. He carried out research works for over 5 years and published original results in peer-reviewed journals. He has a strong interest in Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analysis and Cyber Physical Systems.

• Ph.D. in Neurobiology • Certified Base, Advanced and Clinical SAS programmer, with Python/Databricks as the secondary data-mining programming language. • Has over 15-year data mining programming experience on various types of large-scale oracle, Teradata, AWS, EDW, and SAS data. • Skilled in VBScript, Visual Basic for Applications (VBA), and SQL. • Extensive expertise on synchronization among multiple data-mining sessions (even with different programming language), and BI report automation.

Raja is an accomplished technology leader with 15+ years of extensive experience in leading business strategy, development of overall digital products/solutions, and engineering teams. He is an experienced senior VP & CTO and has led multiple successful enterprise level B2B2C (AI/ML) based companies in HEALTH-TECH, FIN-TECH and eCOMMERCE. He is a Post Graduate in Digital Transformation & Strategy (Purdue, University), Advanced Project Management, IT (Stanford, University), and Bachelor in Computer Science & Engineering (Bangalore University, India).

Dr. Varun has MS in Bioinformatics and Ph.D. in Biotechnology with more than 10 years of experience in the Biomedical field. Varun worked as Postdoctoral Research Scientist at the University of Nebraska Medical Center, and then as a Junior Faculty at Creighton University, Omaha, Nebraska. Varun's career interests are Bioinformatics, Immuno-informatics, AI-based protein engineering, and Data Science. Varun enjoys designing and developing therapeutic antibodies, vaccines, and AI-based healthcare products.

Vijay Duraipalam has over a decade of expertise in data science, analytics engineering, and experience in broad scale strategic, analytical and technical initiatives. Big picture thinker who brings a ‘connect-the-dots’ and collaborative approach to solving business problems across functional spectrums in growth marketing, payments, credit risk, e-commerce and supply chain. Vijay Duraipalam graduated with a B.S in electrical engineering from NIT, Jamshedpur and an MBA in finance, from UC Davis. For fun, Vijay likes to read loads of books, try out different restaurants in the bay with friends, drive on CA1, explore short hikes in Pacifica and traveling.

Graduated from the United States Military Academy (West Point) with a B.S. in Engineering Physics and completed a Masters in Engineering Management from Missouri S&T while serving on active duty. I have 20 years engineering experience in automotive, off-highway, and defense. Completed major tier 1 launches of propeller shafts, springs and stabilizer systems for Lexus, Infiniti, Acura, and Chrysler. In the mobile off -highway industry, I developed SQL based warranty analysis methods for Komatsu and managed Hitachi's ultrasonic analysis and warranty returns program. I have also developed databases for testing, training management, and maintenance contracts. Outside of work, I've been involved with FIRST robotics for over 10 years and I enjoy woodworking and scuba diving whenever I can.

Jeb Alizadeh is a Sr. Data Scientist with more than 10 years of professional experience in Fin-tech, Banking and Loan, IT, and international business. He is skilled in advanced statistical analysis techniques, utilizing his skills in Machine Learning, Data Mining, Artificial Intelligence, and Predictive and Optimization Modeling to solve real business and technical problems within financial and operations sections. He holds an M.S. degree in Data Analytics Engineering/Financial Engineering along with B.S. degrees in Information Systems & Operations Management. He leverages his extensive background in finance, statistics, applied mathematics, economics, and systematic trading to analyze operational and financial data, design unique analytical models, extract insight from data-sets and visualize findings, as business solutions to present for non-technical leadership. Jeb has extensive programming and application skills including Python, R, Tableau, Power BI, Alteryx, Salesforce, Microsoft SQL Server, SQL Server Integration Services (SSIS), advanced Excel skills in analytical functions and Visual Basic for Applications (VBA). His knowledge of derivative analysis includes interest rate and credit default swaps, forward and future contracts, and currency and commodity trades, using hedging, speculation, and arbitrage strategies.

Keithroy has well over 30 years of healthcare experience which spans from blood and tissue banking to pharmaceutical sales management, operations and business development. In addition, he also has hands-on Total Quality Management experience in the automotive and food industries. Keithroy completed his post graduate degree in Global Technology Management and has a sincere interest in the future of healthcare technology as it relates to AI/ML, deep learning and digital health. Keithroy enjoys staying on top of the latest technological developments in healthcare specifically in pharmaceuticals and biotechnology. He enjoys traveling, good movies, spending quality time with family and is an avid foodie.

Arbind has done his B.Tech degree from IIT Kharagpur, India. He has extensive machine learning experience from working as a data scientist with multiple companies. Highly accurate and experienced Data Scientist adept at collecting, analyzing, interpreting large datasets and developing new models. Skilled in Deep Learning, Machine Learning, NLP and Computer Vision.

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.

Majid Gomainy is originally from Iran and resides in Turkey (Ankara) since 2008. He serves as a Professor at the University of the People since 2016. Majid has 18 years of teaching experience in several Universities and in different countries. He has earned a Bachelor’s Degree in Computer Engineering, Master’s Degree in Software Engineering and is currently completing his Ph.D. Majid has published five books in the programming field and many papers in national Journals on Artificial Intelligence (AI) and its application, with extensive experience in Intelligent Systems, Neural Networks, and Machine Learning. He has been a professional in the information technology (IT) industry for the past 20 years and had worked as a software department manager. Majid has had the experience of many roles including programmer, system analyst, project manager, and most recently as a researcher in the R&D department of the Complex Dynamics Group (CDG) at Middle East Technical University (METU).

Dr. Vepa Atamuradov has more than 10 years of experience in Prognostics and Health Management (PHM) ; Predictive Maintenance (PdM), Condition-based Monitoring (CBM), Anomaly Detection, and Time Series Analysis (TSA) using statistical, advanced signal processing techniques, traditional machine learning, and deep learning techniques. He led AI-based research and development projects to develop smart solutions for different industries, such as Defense, Nuclear, Renewable energy, and Transportation. He has managed many data scientists and data engineers as a Tech Lead. Dr. Atamuradov has contributed to major peer-reviewed scientific journals with international conferences as the main author. He has a strong interest in AI, ML, DL technologies and loves to contribute to the development of open-source machine learning frameworks.