Finance is the first industry. Others are on the roadmap.
Between them, they have built and led work at Google, Microsoft, Amazon, PayPal, Goldman Sachs, Bank of America and JPMorgan Chase.
Founder and CEO of OpenEXA. His background spans Big Tech and capital markets.
Ajit has more than a decade of experience at financial institutions including Goldman Sachs, Bank of America and American Express. He also built an AI startup, Bond Intelligence Inc, which uses machine learning and big data to predict risk and price in the fixed income markets and to find relative value. He has been a guest lecturer and industry collaborator with the University of Washington’s CFRM Class of 2019, and has served as a reviewer for IEEE Intelligent Systems on AI in Fintech. He represented Bond Intelligence Inc. on the XBRL Business Reporting Standards Committee and served on the WGFOA’s Municipal Finance Disclosure Modernization Panel, contributing to the development and implementation of industry standards and guidelines. Earlier, he played a key role in implementing the first CNG network in Asia, including the Indian Parliament.
Ajit received a Roll of Honor from the Head of State (Mr. Gegon Apang) for winning the National Science Exhibition, attended by the President of India, Sri. R Venkatraman. He holds a degree in Mechanical Engineering from the Indian National Institute of Technology and completed leadership training at XLRI and MTC.
Boeing Endowed Chair Professor of Applied Mathematics and Director of Computational Finance & Risk Management at the University of Washington.
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.
Architect of high-stakes systems, including those that touch 90% of Microsoft’s revenue.
Mike is a software architect who specializes in complex real-time systems, including blockchain systems. He has been 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 for online exchange transactions in the forest products industry that was later acquired by a German firm, PaperSpace.
At Microsoft, Mike was a principal architect. He designed and built a global pricing system that touched 90% of Microsoft’s revenues, including a real-time pricing and quoting system and a product and price data warehouse used by Microsoft worldwide. He holds a patent for a real-time rules-based algorithm processing system, and has worked on two real-time embedded avionics software systems for the Boeing 737/757/767.
Leads agent research and the post-trained models behind OpenEXA’s domain-specific execution agents.
Shalabh is a software engineer and engineering leader with experience building large-scale distributed systems and scaling software, products and teams at early-stage startups and at large institutions such as Google. His specialties include contextual data discovery, storage systems and ML infrastructure.
At Google, Shalabh founded the ML efforts for conversion optimization and spam and fraud detection using TensorFlow. His team was the first to build ML models based on phone call recordings, with roughly 10 models achieving over 90% accuracy in the first year.
Kumar is the co-founder and CDO, and former CEO, of Versa Networks. He has led large projects at startups and at publicly traded companies. As VP of Engineering at Juniper Networks, he led multiple major product deliveries, including the market-leading Metro and Carrier Ethernet solution, the MX series. The solutions he designed, developed and delivered produced large and continuing revenue for the company and earned him the CEO Excellence Award. Before Juniper, Kumar held engineering management positions at Riverstone Networks and Yago Systems. He is a graduate of the Executive Program at Stanford University Graduate School of Business, and holds a master’s degree in Engineering from Virginia Tech and a Bachelor of Technology from the Indian Institute of Technology, Kharagpur.
Sreeram Kannan is the founder and CEO of EigenLayer and the director of the University of Washington’s Blockchain Lab. His research at UW focuses on distributed computing, information theory, queuing theory, networking, coding theory, and game theory of blockchain systems. EigenLayer is a proof of stake validation marketplace that reuses staked capital and existing validation infrastructure. With EigenLayer, Ethereum can enable permissionless and modular innovation across all blockchain layers. He is a 2021 National-Academy-of-Engineering Frontiers-of-engineering speaker at the US-Japan bilateral meet, a recipient of the 2019 UW ECE outstanding teaching award, 2017 NSF Faculty Early CAREER award, the 2013 Van Valkenburg outstanding dissertation award from UIUC, a co-recipient of the 2010 Qualcomm Cognitive Radio Contest first prize, a recipient of 2010 Qualcomm CTO Roberto Padovani outstanding intern award, and a recipient of SVC Aiya medal from the Indian Institute of Science.
Philip Alan Bond is Edward E. Carlson Distinguished Professor in Business Administration in the Finance and Business Economics Department of the Foster School of Business at the University of Washington. Before the current position, he served on the faculties of the Finance departments at Carlson at University of Minnesota, Wharton at University of Pennsylvania, and Kellogg at Northwestern University. He holds a Ph.D. in Economics from the University of Chicago, and a BA in Mathematics from the University of Oxford.
He has held leadership positions in internationally prominent academic organizations, most notably as co-editor of the Journal of Finance and as president of the Finance Theory Group. He has published 25 papers, the majority of these appearing in the field’s leading academic journals, on a wide array of topics relating to capital markets, market microstructure, microeconomics, monetary policy, financial markets, macroeconomics, derivatives, financial intermediation, and the structure of the Financial Services industry and Investment Banking.
John Schuster is a technology development executive who has held leadership and engineering roles including CEO, CTO, COO and VP of Engineering. Before joining OpenEXA, he was the co-founder and COO of GeoParking Technologies, Inc., a seed-stage startup developing an Airbnb-type platform that lets robotaxi companies source between-ride and overnight parking from its local community users.
Before 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, he co-founded NudgeRx, which developed and launched a call-center and internet-based service to reduce hospital readmission for heart surgery patients. He 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 a leader in wireless optical communications. John received his MBA in Finance from The Wharton School of Business and his BS in Engineering and Applied Science from Caltech.
Victor is a business process expert who analyzes, designs and implements processes that improve organizational efficiency and productivity. He specializes in identifying process bottlenecks and improving workflow.
Victor has 10 years of experience with Lean Startup methods, including Customer Development, Business Model Generation and Blue Ocean strategy. He co-founded Roomful, a metaverse company, and served as the CTO of Database Republic, a BPM company. He graduated from a top university in Russia with a degree in Nuclear Physics and has worked with Silicon Valley startups since.
Abhishek has over a decade of experience implementing V1 initiatives in blockchain technology. He has worked at large technology companies including Amazon and Microsoft.
His expertise is in project planning and in managing software projects with a strong focus on customer experience. He builds cross-functional, global working relationships, and his strengths include strategic planning, analytical problem solving, and data mining for business insight.
Julius is an expert in compliance and financial risk with 25+ years in auditing, operations, and financial forensics. He holds a Ph.D. in Business Analytics and is an expert in AML, fraud, and regulatory frameworks across emerging tech and digital assets.
Dipit has advised some of the largest Wall Street firms on business function optimization, regulatory compliance, revenue recognition and cost reduction. His expertise covers capital markets, and trade surveillance and transaction monitoring in correspondent banking, broker/dealer, hedge funds and asset management.
He has a deep understanding of the regulatory side of financial services: anti-financial crime, AML, BSA, OFAC, KYC, enterprise case management and trade surveillance. His work includes integrating data sets, performing analytical calculations, building and configuring models, and 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.
Subuddh Parekh is a machine learning expert with experience in product and engineering. He holds a Bachelor of Science and a Master of Science in Computer Science from Stanford University. He was a member of the early team at PayPal and has also worked at Western Union and Rakuten. His interests include the impact of AI on people and the use of AI to make markets more accessible and efficient. Outside work, he writes screenplays and makes films.