Intelligence, put to work.

Ajit brings over a decade of first-hand experience from top financial institutions such as Goldman Sachs, Bank of America and American Express. He also has a successful entrepreneurial venture with an AI startup, Bond Intelligence Inc, which uses machine learning and big data to predict risk and price for the fixed income markets, finding relative value and greek analysis to maximize untapped alpha. He shares his two cents on financial markets as a guest lecturer and industry collaborator with the University of Washington's CFRM Class of 2019, he has contributed to the industry by serving as a reviewer for IEEE for Intelligent Systems for AI in Fintech, and holding a position and representing Bond Intelligence Inc. on the XBRL Business Reporting Standards Committee. He also served on the WGFOA's Municipal Finance Disclosure Modernization Panel, which allowed him to meaningfully contribute to the development and implementation of key industry standards and guidelines. Furthermore, he played a pivotal role in implementing the first CNG network in Asia, including the Indian Parliament.

Ajit's accolades include a Roles of Honor, awarded by the Head of State (Mr. Gegon Apang), which he received for winning the National Science Exhibition, graced by the President of India, Sri. R Venkatraman. He holds a degree in Mechanical Engineering from the Indian National Institute of Technology and has honed his leadership skills through training at XLRI and MTC.

Tim is a Boeing Endowed Chair Professor of Applied Mathematics and the director of the Computational Finance and Risk Management Programs and the founder of Quantitative Analytics Lab at the University of Washington. His research areas are Quantitative Finance and Stochastic Optimal Control. He has worked on a variety of problems, such as derivatives pricing, algorithmic trading, exchange-traded funds, commodities, credit risk and cryptocurrencies. His research has been funded by the National Science Foundation. He has published over 60 peer-reviewed articles and 4 books, including Optimal Mean Reversion Trading, selected as one of the 100 Best Derivatives Books of All Time.

Tim served as the Chair of the Institute for Operations Research and the Management Sciences Finance Section and Vice Chair for the SIAM Activity Group on Financial Mathematics & Engineering. He is the founding editor of Modern Trends in Financial Engineering. He is on the editorial board of a number of journals, including Stochastic Models, Applied Mathematical Finance, SIAM Journal on Financial Math, Journal of Financial Engineering, Studies in Economics & Finance, High Frequency, IISE Transactions, and Digital Signal Processing. In 2020, he was the co-editor of the IEEE Intelligent Systems Special Issue on AI and Fintech. In 2016, he won the Emerald Literati Network Award.

Mike, a seasoned software architect with a passion for solving complex real-time system challenges, including those in the realm of blockchain. He has served as an architect on several high-stakes business systems, including the initial online banking transaction processing system for Washington Mutual and Paper Exchange, a start-up that revolutionized online exchange transactions in the forest products industry, eventually acquired by a German firm, PaperSpace.

At Microsoft, Mike held the title of principal architect, where he designed and executed a comprehensive global pricing system that touched upon 90% of Microsoft's revenues. This included an optimal real-time pricing and quoting system, and a massive product and price data warehouse used by Microsoft on a global scale. Mike's exceptional work has been recognized with a patent for a real-time rules-based algorithm processing system and his expertise extends to two real-time embedded software essential avionics systems on the Boeing 737/757/767.

As a business process expert, Victor has extensive knowledge and experience in analyzing, designing, and implementing effective processes that improve organizational efficiency and productivity. He specializes in identifying process bottlenecks and implementing solutions to improve workflow.

Victor brings 10 years of experience with Lean Startup tools such as Customer Development, Business Model Generation, and Blue Ocean strategy, to name a few. He co-founded a MetaVerse company, Roomful, and served as the CTO of a BPM Company, Database Republic. Victor graduated from a top university in Russia with a degree in Nuclear Physics. Upon arriving in Silicon Valley, he immersed himself in the innovative startup culture and has since dedicated his professional life to bringing new ideas to life.

Shalabh is a passionate problem-solver and seasoned software engineer and leader with experience in building large-scale distributed systems and scaling software, product, and teams at both early-stage startups and big institutions like Google. His specialties include contextual data discovery, storage systems, and ML infrastructure.

At Google, Shalabh founded the ML efforts for conversion optimization and spam/fraud detection using TensorFlow. His team was the first to successfully build ML models based on phone call recordings, achieving a record of roughly 10 models with over 90% accuracy in the first year.

John Schuster is a technology development executive with extensive experience in hands-on leadership and engineering roles including CEO, CTO, COO, and VP of Engineering. Prior to joining OpenEXA, he was the co-founder and COO of GeoParking Technologies, Inc., a seed stage startup that was developing an Airbnb type platform to enable Robotaxi companies to source between-ride and overnight parking from GPT's local community platform users.

Prior to GeoParking, John worked in the satellite industry as a Senior Technical Program Manager on Amazon's Kuiper Project and as the SVP of Engineering at LeoSat. Earlier in his career John co-founded NudgeRx, which developed and launched a call-center and internet-based service to reduces hospital readmission for heart surgery patients. John was also CTO of Terabeam Corporation, a unicorn start-up in 2000, where he was technical lead of the team that raised over $526M in equity financing and established the company as the clear leader in the wireless optical communications space. John received his MBA in Finance from The Wharton School of Business and his BS in Engineering and Applied Science from the Caltech.

Subuddh Parekh is a machine learning expert with multiple years of experience in product and engineering. Graduated from Stanford University with Bachelor of Science in Computer Science and Master of Science in Computer Science. Subuddh was a member of the pioneering team at early PayPal and has done stints with Western Union and Rakuten. He is keenly interested in the impact of AI on humans and is passionate about using AI to make markets more accessible and efficient. In his free time Subuddh enjoys writing screenplays and making films.

A blockchain technology enthusiast with over a decade of experience implementing V1 initiatives in the field. Has experience in many large technology companies like Amazon and Microsoft.

Abhishek demonstrates a relentless pursuit of excellence in driving for results that provide business value. Extensive expertise in project planning and managing software projects with a strong focus on customer experience. Proven ability to establish cross-functional, global, collaborative relationships built on trust and credibility. Recognized for strategic planning, analytical and pragmatic problem solving and decisiveness. Strengths include data mining to derive business insight, influencing and motivating teams to get most out of them.

An expert in compliance and financial risk with 25+ years in auditing, operations, and financial forensics. Ph.D. in Business Analytics, expert in AML, fraud, and regulatory frameworks across emerging tech and digital assets.

As a trusted advisor to some of the largest Wall Street firms, Dipit has provided expert guidance on a range of critical areas including business function optimization, regulatory compliance, revenue recognition, and cost reduction. With expertise in capital markets, as well as trade surveillance and transaction monitoring in key industry verticals such as correspondent banking, broker/dealer, hedge funds, and asset management, he has helped clients achieve greater efficiency, compliance, and profitability in their operations.

He has a deep understanding of the regulatory dimension of financial services: Anti-financial crime, AML, BSA, OFAC, KYC, Enterprise Case Management and trade surveillance. Integrating data sets, performing analytical calculations, building and configuring models, performing model validation and tuning. He has worked at institutions such as Chainvine, Goldman Sachs, Nomura Securities, Deutsche Bank, Citibank, Nice Actimize, JPMorgan Chase, Barclays Capital, Fluere Analytics, Bank of America Merrill Lynch and Standard Chartered.