Kamuran C.

About Kamuran C.

Computer engineer with a background across software development, testing, and product delivery. Designed and built data-driven systems focused on reducing operational losses in vehicle-centric portfolios by improving risk visibility, maintenance forecasting, and asset performance.Experience includes developing lifecycle intelligence models, driver behavior–based risk scoring, and predictive maintenance frameworks used by organizations managing distributed vehicle assets. Oversaw platform architecture, product direction, and commercialization in both B2B and B2B2C environments.Comfortable operating across technical and commercial roles: defining product requirements, coordinating deployment with engineering teams, and validating financial impact with business stakeholders.Focus areas include: vehicle lifecycle analytics, fleet portfolio optimization, used car value protection, and applying behavioral & machine data to reduce financial exposure in automotive lending and insurance contexts.

Experience

1. Founder & CEO

   Carpal Ai - Fleet & Finance Risk Intelligence

   Sep 2021 — Present · Round Rock, TX, US

   As Founder & CEO of CarPal Enterprise Inc, I lead the development and commercialization of a unified fleet intelligence platform designed to reduce vehicle-related financial losses for banks, insurers, and fleet operators. My work spans product strategy, data architecture alignment, enterprise onboarding, and partnership development across automotive, finance, and insurance channels.Core Responsibilities • Direct platform vision and roadmap, including risk-scoring models, predictive maintenance intelligence, and used-vehicle value protection layers. • Develop enterprise GTM motions for banking, insurance, and fleet ecosystems (B2B + B2B2C). • Build and negotiate commercial partnerships with OEM-adjacent vendors, credit unions, brokers, fleet operators, and service networks. • Oversee integration strategy (API/SDK), ensuring compatibility with telematics, OBD2 data, and protocol-agnostic model deployment. • Manage investor relations, capital planning, and financial forecasting for scalable expansion. • Align customer value delivery with measurable outcomes: portfolio risk reduction, lower loss ratios, increased asset lifetime value, and improved fleet utilization.Outcome Areas • Converts dispersed vehicle, driver, and maintenance data into decision-grade risk intelligence. • Reduces portfolio operational loss exposure for financial and insurance stakeholders. • Increases downstream revenue capture across aftermarket services and lifecycle touchpoints.Strategic FocusEnable financial and automotive institutions to handle vehicle portfolios as fleets — improving risk visibility, asset health, and unit economics at scale.

Education

• Istanbul Technical University

  Micro MBA, Business Administration and Management, General

  2015 — 2016

• Goldsmiths, University of London

  Bachelor of Science (B.Sc.) (Honours), Computing and Information Systems

  2011 — 2014

• The London School of Economics and Political Science (LSE)

  Diploma For Graduates, Business Administration and Management, General

  2014 — 2018

• Founder Institute

  Entrepreneurship/Entrepreneurial Studies