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.

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

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.

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.

• Well rounded experience ranging from end to end machine learning lifecycle programs, ERP transformational programs, business analytics, web based development. • Leadership positions in Big5 consulting(PricewaterhouseCoopers, Accenture, IBM), fortune 100 organizations(Honeywell) and Product development organization MAJOR ACCOMPLISHMENTS: • Successfully implemented NLP based solutions to identify sentiments, topic modelling to identify top risks from unstructured data. • AI based image classification to automatically extract critical features from legal contracts to be used for contract analytics and gain insights about negotiations and lease expenses. • Improved employee user experience and productivity by creating personalized article using recommendation engine solution for employee's digital workplace portal • Successfully implemented fraud detection models to identify frauds in ERP finance transactions. • Implemented several transformation programs in SAP, Workday ERP systems and web based programs in Supply chain, B2B, Insurance, Medical laboratory systems EDUCATION: • Bachelor in Electronics & Communication Engineering • CISA, Six Sigma Green Belt

Jens comes to us with over 25 years of Electrical Engineering and High Technology Sales Experience based out of Silicon Valley. He managed High technology Semiconductor, IP sales, Telecom, Consumer Mobile, Wearable development, Digital Health/Medical, IoT and IIoT, and Manufacturing accounts. He has strong relationships with the largest OEM and manufacturing companies in America, Europe and Asia. He graduated from San Jose State University with BSEE and minors in Physics, Math and Business. Jens started his career in R&D, migrated into IC design, applications and later into sales for the last 25 years, last 10 years as a VP of Sales. He has strong product knowledge in semiconductors, software and applications and is passionate about new and disruptive technologies. Jens worked as a Director and VP of Sales for Authentec, Akustica (Bosch), Invensense, Sensoplex and the last 3 years as a business consultant to Polyexplore and CMTC (California Manufacturing Technology Consultants as a practice lead for NextFlex (IoT Institute). Throughout his career he interfaced with academia and was passionate about new start-ups with disruptive new technologies operating in Sales and Business Development. Jens grew up in Guatemala city from German descent. Speaks fluent Spanish, German and English and enjoys playing tennis in his free time.

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.

Fabian comes to us with more than 20 years of R&D, Engineering and Sales experience in Electronic Components and Systems. He acquired and managed Key Accounts around the world, established and led International Subsidiaries for European Developers/Manufacturers of SMART Mechatronic Drive Systems and Specialty Connectivity Solutions, and built numerous Innovation and Development Partnerships on an international scale for highly differentiated solutions in the Semiconductors and Photonics verticals. Fabian graduated from the University of Applied Sciences of Western Switzerland with a BSEE and a major in Microelectronics, and he got certified as a Professional Innovator from University of Michigan, Stephen M. Ross School of Business, as well as MIT Sloan School of Management for Artificial Intelligence and its Implications for Business Strategy. Fabian started his career in R&D at Flextronics as a Design Engineer for Ultra-Low Power RF Transceivers followed by a Project Manager role for all Design For Manufacturing Analysis services in Central/Western Europe. He then transitioned to Technical Sales and joined the Sonceboz Group as a Product Manager of High-Precision Electric Motors and Intelligent Mechatronic Drive Systems, where he established the North American subsidiary in Ann Arbor, MI. Fabian has spent the last 6 years at the LEMO Group, a leading Development and Manufacturing company of Precision Interconnectivity Solutions, where as a VP of Innovation and Business Development he has been transforming the organization by leading a Culture of Innovation and embedding Differentiation within its products and services. Throughout his 20+ years of experience in the Automotive, Commercial Vehicles, Consumer Electronics, High-Tech/Smart Infrastructure, Healthcare, Pharmaceutical, and Telecom/Datacom industries, he has exemplified a unique combination of creativity, drive, dedication, collaboration, and mentorship, and demonstrated strengths in growing sales by multiple factors as well as increasing profitability of Highly Engineered Hardware and Software solutions. Fabian has an advanced technology and product knowledge in Semiconductors, Electronics, Mechatronics, and Photonics, as well as countless related end-applications. He is very passionate about new materials and disruptive technologies, and as a natural driver in numerous disciplines, he has been providing Innovation Management, Business Model and Technology Roadmap Development, Market Intelligence, Business Case and Sales Development, and transformed companies into global high-growth organizations. Fabian grew up in Switzerland with French and German mother languages and spent the last 15 years in the United States. He also speaks some Italian and enjoys running, cycling, swimming, and various board sports in his free time.

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. 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.

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.

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.

Dr. Hanumanth Sastry has over 28 years of expertise in deriving business focused insights and finding new opportunities from enterprise data and has performed leadership roles in Data Science, Data Engineering, Solutions Design and Systems Integration. He has provided key information for Strategic and Operational Decision Making by deploying AI ML solutions using a variety of Big Data Analytic tools. He has empowered enterprises by finding Critical Patterns from structured/unstructured data sources and used it to add business value. He has developed and deployed data science Products/Solutions to solve business problems by leading Data Science and Engineering teams and ushered in a culture of Informed Decision Management. He has led innovation by building, deploying Machine Learning Solutions/Services using Spark/Kafka and other tools on Hortonworks Big Data Framework at scale. Hanumanth has his PhD in Computer Science and Systems Engineering from Andhra University and MBA in Operations Management. Dr. Hanumanth has published papers in major peer-reviewed Journals, IEEE Data Science and Engineering conferences.

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.

Pradeep has extensive experience for more than 35 years in the Pharmaceuticals, Genetic Science & Diagnostics Industries in India. He has worked with top Pharma Companies like Wockhardt Ltd, Modi-Mundi Pharma (Continus tech.), Sun Pharma (Chest & Gastro Div), Premier Neutraceauticals (CoralCalcium), Akumenties ( Solaries Div). Successful experience of Launching Genetic Science Project in India with Companies like Preventine life Care (GCMS Tect.), iGenetics(Cyto & Molecular), Agile ( Cytogenetics ) & Infexn lab.(Microbiology & Molecular). Also, he has worked as Consultant-Sales with Suburban Diagnostics ( BHID).

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, analysing, 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).