I am a master's student at Columbia University, specializing in Computer Science with a strong focus on Big Data and Cloud Computing. I have extensive experience in cloud infrastructure and AWS microservices, demonstrated through a series of successful projects. These include creating a Kubernetes-based task scheduling application, architecting a full-stack AWS photo album, and engineering a serverless chatbot. My technical skills are bolstered by Python, Docker, Kubernetes, AWS, and various database technologies. I excel in developing scalable, efficient data pipelines and cloud-based solutions, striving to innovate in the field of data engineering.Communication skills and teamwork are core virtues a fine engineer should have. As a patient listener and efficient organizer, I acted as a mediator between my teammates' different approaches and opinions so we could come to the optimal solution. The interpersonal and leadership skills I gained through diverse team projects became the foundation for my successful collaboration at the open-source contribution academy hosted by the Ministry of Science and ICT, Korea.I am thrilled to make a meaningful contribution to the computer science industry. Please do not hesitate to contact me, as I am open to making connections.
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Infrastructure Software EngineerEpicNew York, Ny, Us -
Software Engineer InternSamsung Electronics Jun 2024 - Aug 2024South Korea- Developed a versatile Kafka template with CI/CD integration on Samsung private cloud with Kubernetes, Kubesphere, Gitlab and Argo, enabling non-software engineers to easily integrate Kafka into their applications- Automated the real-time extraction of wafer data from a PostgreSQL database using a Kafka template- Developed a Chart API to visualize wafer data, implementing box plots to identify and display anomaly data- Configured notification pipelines by utilizing Prometheus Alertmanager and Kubernetes to generate alarms for wafer data corruption incidents and set up automated email alerts to engineers -
Software Engineer InternAirlitz Jan 2024 - Aug 2024New York, United States- Developed 8 API endpoints with 20 different functions for a company website leveraging Python and API Gateway achieving a 50% reduction in data retrieval time through query optimization with a DynamoDB database- Improved webpage load time by 70% by designing and deploying a caching mechanism by setting Redis on AWS EC2- Constructed an authentication layer using AWS Amplify, Amazon Cognito, and Next.js for secure user management- Leveraged AWS CodePipeline to construct a CI/CD pipeline for automated deployment on EC2 triggered by GitHub -
Machine Learning Research InternSungkyunkwan University Dec 2021 - Dec 2022Seoul, South Korea- Worked as an Undergraduate Student Researcher in Image Processing and Systems Design Lab- Managed a project on developing a machine learning model with 80% accuracy and sought synthesis recipes of an ABS/CNT composite with good mechanical properties- Improved 15% computational efficiency of the DenseNet model by proposing a new group convolution technique, tuning 6 different hyperparameters, and utilizing parallel computation
Daniel Cha Education Details
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Computer Science -
Computer Science And Engineering, Advanced Materials Science And Engineering
Frequently Asked Questions about Daniel Cha
What company does Daniel Cha work for?
Daniel Cha works for Epic
What is Daniel Cha's role at the current company?
Daniel Cha's current role is Infrastructure Software Engineer.
What schools did Daniel Cha attend?
Daniel Cha attended Columbia University, Sungkyunkwan University.
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Daniel Cha
Los Angeles, Ca
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