Verified recordSoftware Development

Naman Sheth

Machine Learning Support Engineer at Labelbox

Based in San Francisco, United States

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Seniority

Staff

Department

Information Technology

Location

San Francisco

Industry

Software Development

Company size

419

Contact information

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Email

1 credit

n•••••••@labelbox.com

Phone

5 credits

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Background

About Naman Sheth

About Me I am a results-driven Machine Learning Support Engineer with a strong foundation in Technical Support, Software Engineering, and Network Engineering. I specialize in troubleshooting and optimizing workflows using tools like GraphQL and Retool to ensure seamless functionality and user satisfaction for complex machine learning platforms. Education • B.S. in Computer Science, University of California, Davis • Summer Session in Computer Graphics, Stanford University Technical Skills • Languages & Querying: Python, GraphQL, Java, SQL, R, C, C++ • Troubleshooting Tools: Retool, Postman, Charles Proxy, WireShark, NetScout • Cloud & APIs: AWS (Lambda, S3, CloudWatch, EC2), REST & SOAP APIs • Databases: MySQL, Azure DataStudio, MongoDB • Networking & Protocols: TCP/IP, Ethernet, BGP, CAN, Modbus, Profibus • Collaboration Tools: Git, Jenkins, Linux, JIRA, Agile Key Strengths • GraphQL Troubleshooting: Debugging and optimizing GraphQL queries for improved API performance. • Retool Solutions: Building custom dashboards and tools to monitor, debug, and resolve technical issues efficiently. • ML Platform Support: Supporting machine learning workflows, ensuring seamless integrations with datasets, APIs, and tools. • Problem-Solving: Identifying root causes of technical challenges and implementing scalable solutions. • Cross-Team Collaboration: Partnering with engineering, product, and data teams to drive issue resolution and improve platform reliability. Professional Highlights • Resolved critical GraphQL API issues, enhancing query performance and reliability. • Built Retool dashboards to streamline internal troubleshooting workflows. • Investigated ML pipeline failures using logs, APIs, and datasets to identify root causes. • Designed and executed end-to-end testing plans for manual and automated validation. • Collaborated with cross-functional teams to address blockers, align on feature releases, and. improve platform performance. Certifications • Salesforce Certified Platform App Builder Soft Skills • Analytical Thinking: Diagnosing and resolving complex technical issues efficiently. • Communication: Translating technical findings into actionable insights for stakeholders. • Adaptability: Quickly embracing new technologies and evolving challenges. Passion I am passionate about bridging the gap between machine learning technology and operational excellence, empowering platforms to deliver exceptional performance and drive user success.

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