Judges
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Judges
Kristian Wilson RSVP Approved
Chief Operating and Technology Officer (COTO) at Channel
Kristian Wilson is the Chief Operating and Technology Officer at Channel Capital. He brings over 20 years of experience in technology leadership, platform modernization, and scaling engineering teams within the fintech sector.
Oversees Channel's proprietary financial technology platforms, focusing on cloud-native transformations, data pipelines, and AI/ML integration for automated credit decisions.
l*o@i*****i RSVP Approved
This individual is a leader in digital strategy and AI, with extensive experience including founder and MD roles. They possess strong academic credentials and a decade of experience in AI-related fields, though their public profile lacks demonstrable hands-on building projects.
no projects mentioned
p**********s@g*******m RSVP Approved
Insufficient information is available for a biography.
no projects mentioned
Ofir Ben Ami RSVP Approved
Director at Geler investments
Ofir Ben Ami is the Director at Geler Investments, where they are self-employed. They are open to introductions and can be contacted via email for help with fundraising, GTM, and partnerships.
Nikita Drachev RSVP Approved
Chief Data Officer at Bank
Nikita Drachev is a Chief Data Officer with over 15 years of experience in data management, risk optimization, and process improvement. Currently leading advanced data governance frameworks and MLOps pipelines, he has accelerated machine learning model development by four times while reducing plan vs. actual variance to 1-2%. Nikita drives cost reduction initiatives that have cut expenses by 15% and decreased reporting errors by 40%. With a strong foundation in Information Technology and Financial Management from National Research Nuclear University MEPhI and the Finance University under the Russian Government, he leverages Python and SQL-based analytics tools to deliver impactful business results.
advanced data governance frameworks, MLOps pipelines, machine learning model development acceleration, risk optimization, data management platforms, process optimization, cost reduction strategies, Python and SQL-based analytics tools, reporting error reduction
Leading implementation of advanced data governance frameworks and MLOps pipelines to accelerate machine learning model development by 4x. Overseeing risk optimization initiatives through enhanced data management platforms, reducing plan vs. actual variance to 1-2%. Driving process optimization projects that cut costs by 15% and decrease reporting errors by 40%, leveraging Python and SQL-based analytics tools.