Levi S. Lian
New York, New York,United States
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Levi S. Lian is an accomplished Senior Software Engineer with 7 years of experience specializing in distributed systems, cloud computing, and full-stack development. He is passionate about building scalable and resilient software solutions that solve complex real-world problems. Levi has a strong track record of leading engineering teams, architecting robust systems, and delivering high-impact projects in fast-paced tech environments. He is proficient in languages like Python, Go, and Java, and has extensive experience with cloud platforms such as AWS and GCP. Levi is a proactive learner, always eager to explore new technologies and methodologies to enhance product quality and user experience.
Professional Summary
Levi S. Lian's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead Engineer for Project Chimera
Led a team of 5 engineers in the design, development, and deployment of 'Project Chimera,' a new microservices-based platform that improved data processing speeds by 40% and reduced operational costs by 15% for a key business unit.
Core Contributor to Scalability Initiative
Played a pivotal role in a company-wide initiative to enhance system scalability, contributing to architectural redesigns that successfully supported a 3x increase in user traffic without performance degradation.
Tech Excellence Award Q3 2022
Received the 'Tech Excellence Award' for outstanding contributions to optimizing legacy codebases, resulting in significantly improved maintainability and a 25% reduction in critical bug reports.
Open Source Contributor
Active contributor to several popular open-source projects in the cloud-native ecosystem, with notable contributions to [e.g., Kubernetes or a specific library relevant to distributed systems].
Educational Background
Master of Business Administration - MBA
Harvard Business School
Bachelor's degree, Symbolic Systems
Stanford University
Y Combinator
Master of Science, Computer Science
Stanford University
North Carolina School of Science and Mathematics
UK A-Levels
Hangzhou Foreign Language School
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Company Overview
Raycaster (YC F24)Raycaster is developing an AI copilot specifically for engineers working on complex system design. This tool aims to dramatically accelerate the process of designing, simulating, and optimizing intricate systems such as semiconductor chips, electric vehicle (EV) batteries, or advanced energy systems like fusion reactors. For end-users (engineers and R&D teams), Raycaster offers the potential to iterate on designs much faster, explore more possibilities, and arrive at optimized solutions with greater efficiency, effectively aiming to make system design 100x faster.
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