Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Michael Wagner is a highly experienced and innovative Principal Software Architect with over 18 years in the tech industry, specializing in cloud-native architectures, distributed systems, and AI-driven solutions. He has a proven track record of leading cross-functional teams in designing, developing, and deploying scalable and resilient software products for enterprise clients. Michael is passionate about leveraging emerging technologies to solve complex business challenges and is dedicated to fostering a culture of technical excellence and continuous learning within his teams. He is adept at translating business requirements into robust technical strategies and has a strong focus on performance, security, and maintainability.
Michael W.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the strategic migration of a legacy monolithic application to a microservices-based architecture on AWS for a major financial institution, resulting in a 60% reduction in operational costs and a 40% improvement in system scalability and uptime.
Designed and implemented a novel machine learning-based recommendation engine for an e-commerce platform, which increased user engagement by 25% and average order value by 15% within the first six months of deployment.
Actively contributes to several popular open-source projects in the Kubernetes ecosystem, focusing on enhancing developer tooling and operational efficiency for containerized applications. Recognized as a top contributor for a leading CNCF project.
Published a well-received book on modern software architecture principles and scalable system design patterns, adopted by several universities as supplementary reading material for advanced software engineering courses.
IMC European Business School - Year 2008
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
WinMatch is a Talent Intelligence Platform designed to help companies discover, assess, and hire top talent more efficiently. It leverages AI and data analytics to match candidates with job requirements, aiming to improve the quality of hires and reduce time-to-fill. The platform provides insights into candidate skills, experience, and potential cultural fit, streamlining the recruitment process for HR professionals and hiring managers.
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Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
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