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Namu Hichilo is a passionate and results-driven software engineer with approximately 8 years of experience specializing in cloud computing and distributed systems. With a strong foundation in building scalable and resilient applications, Namu has a proven track record of contributing to critical projects from conception through deployment. They are adept at working in agile environments, collaborating effectively with cross-functional teams, and are always keen to explore new technologies to solve complex problems. Namu is particularly interested in the intersection of AI and cloud infrastructure to create more intelligent and efficient systems.
Namu Hichilo's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led a team of 5 engineers in migrating a legacy monolithic application to a microservices architecture on AWS, resulting in a 40% reduction in operational costs and a 25% improvement in system uptime.
Co-authored and presented a paper at a renowned tech conference on 'Best Practices for Building Highly Scalable Distributed Systems,' which was well-received by industry peers.
Developed an internal CLI tool that automated complex deployment processes, saving the engineering team an estimated 10 hours per week and significantly reducing human error.
Stanford University
Berea College
The University Of Zambia - Year 2009
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Galileo Cloud (often referred to simply as Galileo, operating as Rungalileo, Inc.) is an ML Data Intelligence company focused on unstructured data. They provide a platform for ML practitioners to evaluate, debug, and monitor machine learning models, particularly in Natural Language Processing (NLP) and Computer Vision (CV). Their tools help teams rapidly find and fix data and model errors, ensuring high-quality data, accelerating model iteration, and improving model performance in production.
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