NOVI is solving some of the biggest problems associated with today’s Earth Observation (EO) services. NOVI’s on-board edge computing and low-cost multi-sensor satellites significantly reduce cost, complexity and latency associated with usage of space-based data, democratizing access for all to enable widespread adoption and usage of EO capabilities.

• Chief Data Scientist for Sentier, leading the development of machine learning solutions to analyzing promotional performance, determining optimal engagement policies, and omnichannel marketing analytics.• Machine learning and artificial intelligence consulting, software development, and data analysis. Defining machine learning strategy, researching and implementing machine learning-based approaches in satellite and aerial imagery, space situational awareness, additive manufacturing, and health care.• Developed object detection and change detection technology that won 3rd place in the 2018 Hyperspace Challenge, competition backed by Air Force Research Laboratory.

• Senior member of portfolio management and research team responsible for tens of billions of AUM in global long-only and global long-short quantitative equity strategies.• Member of Operating Committee and Investment Policy Committee.• Introduced machine learning techniques to firm’s investment process. Led the research and development of signals focused on textual data using proprietary natural language processing software, resulting in numerous novel stock selection factors in production. Managed the development of new long-short equity strategy based on machine learning techniques.• Spearheaded the design, launch, marketing, and enhancement of frontier markets strategy, recognized as one of the earliest examples of quantitative investing in the frontier markets. Led the research and development of custom risk model, optimization framework, and transaction cost model for these markets.• Regularly conducted client, prospect, and consultant meetings in North America, Europe, Middle East, Asia, Australia, and Africa to explain investment process, portfolio, performance, research, and enhancements. Key member of portfolio management team meeting with clients in response to underperformance of quantitative strategies during and after global financial crisis.• Led the firm's adoption of uncorrelated strategies in non-equity asset classes. Responsible for evaluating external strategies, teams, and firms as part of this effort. Negotiated terms of relationships with multiple firms.• Managed members of research team as direct reports. Handled personnel issues surrounding hiring, compensation, reviews, and personal growth plans. Assisted CIO and Director of Research in formulating research priorities for the firm and suggesting new research directions.

• Member of research team responsible for equity, global macro, and commodities strategies. Led the development of news signals backed by difficult-to-acquire news data. Researched and launched new long-short equity strategy with commonly used and difficult to acquire industry-specific factors. Designed, developed, and deployed automated trading algorithm based on active learning targeting outperformance of VWAP benchmark. Developed research platform for high-frequency equity trading.• Marketed firm's offerings to prospective investors. Designed marketing materials for long-short equities, global macro, and commodities and currencies funds.• Negotiated terms and details of new prime broker relationship, resulting in 60% reduction in commissions. Managed transition to new prime broker.

• Designed, developed, and delivered enterprise application for real-time opportunity detection and trading in energy markets.• Managed global team of software developers in designing, building, and bringing product to market, and supporting customers. Strategized with product marketing group on future directions and product releases.

• Conducted R&D in natural language processing systems. Designed and developed algorithms and systems for automatic grammar induction for query answering product.• Evaluated competitors’ technologies to assess build-or-buy opportunities. Established research partnership with academic institutions on text processing.

• Conducted R&D in language processing and message understanding algorithms with applications in financial and non-financial domains.• Implemented new research initiatives as part of software systems delivered to government clients.