Erik Schanou
Papillion, Nebraska,United States
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Erik Schanou is a highly experienced technology leader and software engineering manager, currently holding the position of Principal Software Engineering Manager at Microsoft. With a career spanning over two decades, he has demonstrated expertise in areas such as cloud services, AI/ML infrastructure, distributed systems, and building and leading high-performance engineering teams. His work often involves tackling complex technical challenges, driving innovation, and delivering robust, scalable software solutions. Erik is known for his strategic thinking, technical depth, and his ability to foster collaborative and productive engineering environments.
Professional Summary
Erik Schanou's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Principal Software Engineering Manager at Microsoft
Leads and manages engineering teams focused on developing and enhancing Microsoft's cloud services and AI infrastructure, contributing to key product initiatives and technological advancements.
Long-standing Tenure and Impact at Microsoft
Has a significant history with Microsoft, holding various engineering and leadership roles, indicating a consistent track record of valuable contributions to the company's success in areas like Azure and AI platforms.
Expertise in Cloud and AI Technologies
Recognized for deep technical knowledge and leadership in the development of cutting-edge cloud computing solutions and artificial intelligence infrastructure, driving innovation in these rapidly evolving fields.
Development of Large-Scale Distributed Systems
Contributed to the architecture, design, and implementation of large-scale, highly available distributed systems, crucial for powering enterprise-level services.
Educational Background
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Company Overview
IntanglesIntangles is a leading solutions provider leveraging Digital Twin technology for the mobility industry. They utilize proprietary algorithms and AI to offer predictive analytics for vehicle health, fleet monitoring, and operational efficiency. Their solutions help businesses optimize fuel consumption, reduce unscheduled breakdowns, and enhance overall asset performance by providing actionable insights from real-time vehicle data, ultimately aiming to improve the reliability and sustainability of transportation.
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