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.

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. 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.

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.

Dr. Hamda has significant research and work experience in the application of machine learning and AI-driven technologies in biomedical research; manufacturing industries as well as in climate sciences. He is skilled in applied mathematics and advanced probabilistic programming inference techniques. His recent works focus on the integration of machine learning and mechanistic models for a mechanism-based understanding of clinical trials outcomes and drug transports inside tumor micro environment. He is also skilled and experienced in building knowledge graph-based Database system for end-to-end data integration and feature engineering of unstructured ‘Big Data’. Dr. Hamda holds MSc. in Biochemical Engineering in computing, Ph.D. in Bioinformatics and Theoretical Biology from Vrije University, Amsterdam, Netherlands and Ph.D. in Modelling from Jagiellonian University, Poland.

Dale Less has more than 30 years of experience in data analytics projects across multiple industries including healthcare, manufacturing, government, retail, travel and entertainment, consulting, and many others. Dale has a broad background spanning all aspects of data science including machine learning, social network analysis, ensemble modeling, decision trees, support vector machine (SVM), neural networks/deep learning, regression modeling and various other data science techniques. Dale also has strong background in inferential statistics, regression including linear, logistic, Cox, time series analysis, survival analysis, health research, epidemiology and engineering. Dale has a Masters degree in Healthcare Administration and Allied Health Research from Texas State University and a Bachelor's degree in Industrial Engineering from Tennessee Tech University.

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.

Sander Stepanov holds a Ph.D. in Electrical Engineering with specialization in Machine Learning. He is proficient in the major areas of Machine Learning Industrial development: Natural Language Processing, Deep Neural Networks, Statistical Inference, Analytical and Numerical Statistical Analysis, Stochastic Data Computer Simulation, Neuroscience, Data Visualization, Data Classification, and Predictive Analytics. He taught data processing and computer programming in Universities and continues to educate industrial colleagues, sharing his knowledge and helping others. Sander attributes much of his success to his capability to think, ‘out of the box’ along with the ability to go against the mainstream, if needed. His way is ownership all the way into production, and responsibility for results and, most important, getting domain knowledge at the professional level to quickly evolve business and data and Machine Learning models. He started to use Machine Learning techniques at their very early stages of industrial applications and grew his skills, along with their development into today’s complex techniques. This provides him with exceptional and unique expertise: a valuable combination of his high level of education, long and successful experience in different areas of data science, and diverse and deep knowledge, acquired over many years of working with many experts in the specific areas, is an asset to any organization. He always cultivates and demonstrates excellence in theoretical knowledge: from his teenage years,(attending seminars for outstanding students in local university), to always reviewing the latest developments in Machine Learning, through associating with the most qualified professionals in Machine Learning, throughout his career Sander has proved himself to be successful in delivering world-class industrial products in his field and has often received feedback of appreciation and praise from management and co-workers in the leading companies he has had the privilege to work for.

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.

Kim Greenbaum has over 20 years of biotech industry experience at Bayer, Scripps Research Institute, Gen-Probe and other leading firms. She began her career in the lab running assays for HIV, HCV, HBV and West Nile. After transitioning to business development, she built a track record of successful collaborative relationships with CDC, US DOD, BARDA, NIH, 3M, GE, Millipore, Roche and others. Kim has extensive international experience including leadership roles at Evolva SA of Switzerland and iCarbonX of China. She specializes in negotiating partnerships, setting up new ventures and spin-offs, commercializing new product concepts, executing technology transfers and creating collaborative co-development projects. Kim earned her BA in Biology from Emory University and her MBA from the University of Phoenix.

Highly accomplished Sales Leader with extensive pharmaceutical experience in a wide range of specialty segments. Proven record of performance, maximizing revenue, developing talent, and building high performing teams. Expertise in resource deployment, accountability, hiring and coaching, skill development, strategic leadership to drive performance. Experience and expertise in Sales, Sales Leadership, Systems of Care, Institutional Account Management, Marketing, Training, Sales Operations, and Market Planning. Cross functional leaders with significant collaborative experience in product launch, co-promotion, and alliances with strong communication and process management, and tactical deployment. Areas of Expertise: Revenue Generation | Market Development | Business Intelligence & Analytics | Strategic Planning | Sales Operations | Talent Management & Development | Coaching Coaches | Incentive Compensation | Managed Markets | Sales, Product & Account Training | Sales Force Effectiveness Therapeutic Class & Channel Expertise: Oncology | Hematology | Cardiovascular | Thrombosis | Diabetes | Vascular | Pulmonology | Quality Measures | Institutions | IDN’s | Group Purchase Organizations (GPO’s) | State and Payer Formulary | Office-Based Specialties

Management and business development pro with more than 2 decades of solid experience working with both startups and established businesses in advertising, media, research and technology arenas. Deep understanding of the linear and digital ecosystems. The ability to deliver successful product integration strategies. Demonstrated strengths in national sales and marketing campaigns, with an extensive background in product planning and launch. Proven ability to use in-depth advertising industry knowledge to grow sales and establish key relationships with industry leaders. Skilled in defining and planning large-scale projects including workflow design. Well versed in industry trend analysis and action planning. Known as a proactive problem solver. Core Competencies: Marketing & Sales • New Product Development & Introduction • Business Development Strategic Planning • Market Penetration • Competitive Positioning • New Revenue Streams Customer Relationship Management • Account Retention • International Business • Profitability Market Launch • Profit & Loss (P&L) Management • Industry Alliances • High-Impact Presentation

Identifying problems is a key executive skill, but true leaders make their mark by giving their power and energy to solutions. As a respected global executive with 20+ years of experience leading high-value technology initiatives to drive business growth across multiple disciplines, I provide solutions that propel outstanding performance in complex, high-tech environments, delivering significant business results in operating performance, product portfolio offerings, and market value. CAREER HIGHLIGHTS: ● Achieved millions of dollars in business value and cost savings for a global Fortune 100 oil services conglomerate. Led 60+ onshore and offshore developers in implementing industry-leading technology solutions to streamline operations and maintain legal and regulatory compliance. ● Drove $1.5 billion acquisition for a 50,000-employee chemical products and oil field services company by redeveloping strategic and technical IT position during M&A process. ● Led cross-functional, 100+-member teams in major, multi-year technology projects spanning chemical and engineering software solutions, SAP, technical / financial / management reporting systems, business intelligence, and more. KEY STRENGTHS: ● Known as an analytical thinker with a nimble mind and strong business and technical acumen, I respond quickly to ever-changing business environments and excel in tackling challenges that others have deemed impossible. ● Collaborative leader who easily wins the trust and confidence of internal and external stakeholders through active listening, open communication, and focus on win-win outcomes. ● Build and grow lean, high-performance teams, inspiring integrity, accountability, and deep functional and technical expertise. ● Thrive in dynamic, growth-driven environments with the ability to define strategic vision and lead tactical movements to achieve that vision.

I am an accomplished Global Business Development and Strategic Alliances professional with 20+ years of experience executing data-driven market growth strategies through VAR/Channel Partner operations. My expertise lies in IoT technologies, Cloud readiness, SaaS/PaaS, Smart Grid, and Meter Data Management solutions. As a senior business leader and collaborative partner, I am skilled at managing large alliance programs and providing the vision and leadership necessary to drive the strategic objectives of dynamic global organizations. I possess extensive international experience developing channel partnerships, go-to-market strategies, and Tier 1 OEM agreements for Siemens Energy Automation and IT in Germany and the UK. Additional Areas of Expertise: Sales Methodology | IT Outsourcing | Machine to Machine (M2M) |Budgeting & Forecasting Operations Management | Mobile Applications | Service Provider IT (SPIT) | Go-to-Market Strategy Solution Selling Strategies | Wireless Infrastructure | Mergers & Acquisitions | Mobile Wallet Interactive Gaming | Smart Grid Communications | Radio Access Networks

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.

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 Machine Learning developer with a demonstrated history of working in the industry. Skilled in Deep Learning, Machine Learning, Word Processing, Computer Vision, and Content Strategy with a Bachelor of Engineering Degree from BITS Pilani and Masters Degree in Power and Control from IIT Guwahati, India.