With extensive experience across the entire AI lifecycle—from data readiness and ideation to deployment and performance measurement—we provide the expertise and strategic guidance needed to transform complex challenges into opportunities for growth. By combining deep technical knowledge with strategic business acumen, we propel our partners to the forefront of their industries.
Ariel leads InRiva’s delivery of AI solutions to clients. He bring 25+ years of experience leading Data Science teams developing data products and AI/ML solutions at scale.
Ariel was previously the Head of Real-Time Analytics Solutions at JPMorgan Chase, where he led data science teams developing real-time data products and AI/ML solutions
Ariel leads InRiva’s delivery of AI solutions to clients. He bring 25+ years of experience leading Data Science teams developing data products and AI/ML solutions at scale.
Ariel was previously the Head of Real-Time Analytics Solutions at JPMorgan Chase, where he led data science teams developing real-time data products and AI/ML solutions across all banking business lines. He has also held leadership roles at high growth technology companies, including: Chief Data Scientist at Scuba Analytics; Head of Data Science at Jornaya; and Product Leader of the Behavior Change Analytics Platform at Mobiquity.
Ariel graduated from Stanford University and the University of Puerto Rico, and is an INFORMS Certified Analytics Professional, and a HITRUST Certified De-Identification Professional.
As InRiva AI’s Chief Revenue Officer, Bobby is responsible for leading worldwide Sales, Marketing, Revenue Operations, and Customer Success.
With 25+ years sales, marketing, and business development experience, serving customers across a variety of industries from the Fortune 100 to SMBs. Bobby holds an undergraduate and masters degrees fr
As InRiva AI’s Chief Revenue Officer, Bobby is responsible for leading worldwide Sales, Marketing, Revenue Operations, and Customer Success.
With 25+ years sales, marketing, and business development experience, serving customers across a variety of industries from the Fortune 100 to SMBs. Bobby holds an undergraduate and masters degrees from from Saint Joseph’s University.
Bobby lives in Bucks County, PA with his wife Vanessa and their 3 kids and enjoys golfing, cooking on his Big Green Eggs, and coaching youth sports.
Andrew Schools brings 28 years of experience in designing, developing, and deploying software solutions. He has successfully built websites, web-based applications, mobile apps, and desktop software for a diverse range of companies and clients. His expertise extends beyond development; Andrew understands the complexities of deploying and
Andrew Schools brings 28 years of experience in designing, developing, and deploying software solutions. He has successfully built websites, web-based applications, mobile apps, and desktop software for a diverse range of companies and clients. His expertise extends beyond development; Andrew understands the complexities of deploying and managing software in the cloud, ensuring seamless performance and real-time monitoring. With a strong focus on disaster recovery, privacy, security, and operational efficiency, Andrew ensures that the software he delivers not only functions effectively but operates smoothly with minimal downtime.
Before joining InRiva AI, Andrew held senior and leadership positions at Comcast and Fidelity, while also contributing to innovative startups including Scuba, SidelineSwap and Edvisors.
Dawson Eliasen is a data scientist with wide-ranging expertise in data and ML. After earning a degree in data science, he held roles at boutique data science consultancies, working with companies of all sizes to find value in data and build machine learning systems from the ground up. His previous experience has included large language mo
Dawson Eliasen is a data scientist with wide-ranging expertise in data and ML. After earning a degree in data science, he held roles at boutique data science consultancies, working with companies of all sizes to find value in data and build machine learning systems from the ground up. His previous experience has included large language models, vast forecasting systems, and rigorous inferential statistical analyses.
Dawson is passionate about crafting powerful models to extract insight from messy data and building elegant systems that seamlessly deliver value.
Anne is a dynamic product management and operations professional with over twelve years of experience driving innovation and efficiency across multiple industries, including technology, finance, and education. She has a solid foundation in Agile management and Lean manufacturing, skills honed through her work in product and process improv
Anne is a dynamic product management and operations professional with over twelve years of experience driving innovation and efficiency across multiple industries, including technology, finance, and education. She has a solid foundation in Agile management and Lean manufacturing, skills honed through her work in product and process improvement. With a passion for customer-centric solutions and an empathetic approach, Anne consistently delivers value by aligning product strategies with market needs, optimizing processes, and fostering cross-functional collaboration. Her proven track record spans from enhancing virtual assistant applications in banking to leading Lean transformations, showcasing her adaptability and commitment to excellence.
In her recent roles, Anne has leveraged her expertise to guide teams in strategic planning, incremental product enhancements, and data-driven decision-making. Her work with companies like JPMC and her research experience at Instituto Tecnologico de Santo Domingo have equipped her with a comprehensive understanding of both client needs and emerging trends in technology and consumer finance.
Outside of work, Anne enjoys staying active through running and swimming, loves to travel, and treasures time spent with her family, bringing balance and inspiration to her professional life.
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