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Craig Grammer is a highly accomplished and forward-thinking technology leader with over 15 years of experience in software development, cloud architecture, and product management. He has a proven track record of building and scaling high-performance engineering teams, driving innovation, and delivering impactful digital products that meet both user needs and business objectives. Craig is passionate about leveraging emerging technologies like AI and serverless computing to create elegant solutions for complex challenges. He is known for his strong communication skills, strategic mindset, and ability to foster a collaborative and growth-oriented environment.
Craig Grammer π€'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the successful migration of legacy enterprise applications to a modern cloud-native architecture (AWS), resulting in a 40% reduction in operational costs and a 60% improvement in system scalability and resilience.
Awarded 'Innovator of the Year' for developing a proprietary machine learning algorithm that improved data processing efficiency by over 75%, leading to faster insights and enhanced product features.
Grew the core engineering team from 5 to 35 members within two years, implementing agile methodologies and a mentorship program that significantly increased team productivity and reduced employee turnover.
Managed the end-to-end lifecycle of a new SaaS product, from ideation through to launch and market adoption, achieving 10,000+ active users within the first year and securing an industry award for 'Best New B2B Solution'.
Hampton University - Year 1981
Dover High School
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MachineWise GmbH develops AI-powered software solutions tailored for the manufacturing industry. Their primary focus is on leveraging artificial intelligence and machine learning to optimize production processes, enhance quality control through visual inspection, and enable predictive maintenance for industrial machinery. By analyzing sensor data and operational patterns, MachineWise aims to help manufacturers reduce downtime, improve product quality, increase operational efficiency, and make data-driven decisions.
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