Ern Chi Khoo
Software Developer at Miles Technologies- Claim this Profile
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English Professional working proficiency
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Chinese Native or bilingual proficiency
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Malay Native or bilingual proficiency
Topline Score
Bio
LinkedIn User
Ern Chi performed exceptionally on projects and did not fail a single time. She is extremely creative and knowledgeable. Her constant quest to learn, adapt and apply professional lessons proves out Ern Chi's ability to be an active individual contributor and participant on any team.
LinkedIn User
Ern Chi performed exceptionally on projects and did not fail a single time. She is extremely creative and knowledgeable. Her constant quest to learn, adapt and apply professional lessons proves out Ern Chi's ability to be an active individual contributor and participant on any team.
LinkedIn User
Ern Chi performed exceptionally on projects and did not fail a single time. She is extremely creative and knowledgeable. Her constant quest to learn, adapt and apply professional lessons proves out Ern Chi's ability to be an active individual contributor and participant on any team.
LinkedIn User
Ern Chi performed exceptionally on projects and did not fail a single time. She is extremely creative and knowledgeable. Her constant quest to learn, adapt and apply professional lessons proves out Ern Chi's ability to be an active individual contributor and participant on any team.
Experience
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Miles Technologies
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United States
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IT Services and IT Consulting
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100 - 200 Employee
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Software Developer
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May 2021 - Present
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Maxis
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Malaysia
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Telecommunications
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700 & Above Employee
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Information Technology Intern
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May 2019 - Aug 2019
- Designed and developed facial recognition-based attendance system for company event that sends a push notification to user's phone and marks their attendance within a database - Utilized AWS Services such as Lambda, S3, DynamoDB, Rekognition, CloudWatch and Kinesis - Developed back-end logic and algorithm for the system through the use of Lambda functions with Node.js - Integrated attendance system with existing company employee mobile app and database through APIs - Designed and developed facial recognition-based attendance system for company event that sends a push notification to user's phone and marks their attendance within a database - Utilized AWS Services such as Lambda, S3, DynamoDB, Rekognition, CloudWatch and Kinesis - Developed back-end logic and algorithm for the system through the use of Lambda functions with Node.js - Integrated attendance system with existing company employee mobile app and database through APIs
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Ohio State University Dining Services
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Columbus, Ohio
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Student Assistant
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Jan 2019 - Apr 2019
- Prepared menu orders for customers in a demanding environment - Utilized multi-tasking skills while maintaining high level of efficiency - Communicated with customers to resolve any issues and inquiries they might have - Prepared menu orders for customers in a demanding environment - Utilized multi-tasking skills while maintaining high level of efficiency - Communicated with customers to resolve any issues and inquiries they might have
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Education
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The Ohio State University
Bachelor's degree, Computer Science and Engineering -
INTI International University & Colleges