Gennadii Turutin is a results-driven software engineer and technology leader with 8+ years of international experience spanning cloud engineering, data engineering, machine learning, and generative AI across proptech, fintech, and energy sectors. Currently serving as Vice President of Distributed Ledger Technology at iCapital since March 2025, he designs and maintains APIs providing aggregated data and metrics for alternative investments while managing blockchain databases serving financial advisors, wealth management, and asset management companies.
His entrepreneurial initiative includes co-founding Archituru through the Founder Institute accelerator program (November 2024 - February 2025), developing backend architecture for a vertical AI agent automating architectural project management. The platform, officially registered in the U.S. in January 2025, leverages Django, FastAPI, AWS Serverless, Langchain, and Redis to automate processes from cost estimation and tender analysis to blueprint processing.
At Helix by TIFIN (May 2024 - November 2024), Gene established design patterns for generative AI applications working with a database encompassing $18.9 trillion in alternative investments. He designed five data pipelines converting PDF files into vectors for AI usage, established comprehensive monitoring systems, and decreased AI chatbot latency by three seconds on average while reducing infrastructure costs by 50%. His leadership included mentoring junior staff and ensuring smooth onboarding of international engineering teams.
At Prescriptive Data/Nantum AI (October 2019 - May 2024), Gene delivered transformative proptech solutions. He created over 40 Python/JavaScript services in AWS infrastructure including energy savings calculators and demand predictors. He led the critical migration from AWS to multi-cloud architecture with Azure support, rebuilding dozens of microservices while ensuring 100% service continuity, enabling Nantum OS deployment on Azure Marketplace. He supervised implementation in U.S. federal government buildings, including a major Texas airport, achieving verified energy savings up to 11%. His serverless frameworks automated processes, triggered ML model updates, and validated data quality.
Gene's thought leadership includes publications "Scalable Data Pipelines and Retrieval Systems for RAG" (CIO Bulletin) and "Microservices Architecture: A Systems Perspective on Technical Benefits and Product Development" (The Silicon Review).
He holds a Master's degree in Statistics from Zicklin School of Business (CUNY), a Fintech Certificate from New York University, and a Bachelor's in Mechanical Engineering from Peoples' Friendship University of Russia. His career began at international companies Bosch (2011-2013) and Schmitz Cargobull (2013-2016), gaining foundational experience in engineering technologies and process automation.
Gene's unique strength lies in bridging technological scalability, business efficiency, and customer satisfaction across diverse industries. His expertise spans Python, JavaScript/TypeScript, AWS, Azure, Databricks, SQL/NoSQL, machine learning, generative AI, and distributed ledger technology—positioning him as an ideal technical leader for organizations requiring senior engineering expertise that transforms complex technical challenges into strategic business advantages while advancing innovation in AI-driven systems, cloud architectures, and fintech solutions.