Dear Hiring Manager, I am writing to express my enthusiastic interest in the Software Developer position at BECU. My experience as an SDE Intern at Amazon, where I reduced issue detection time for real-time troubleshooting by 60% through the implementation of a comprehensive quality indicator, aligns perfectly with BECU's focus on secure and smoothly running systems for member money management. During my internship, I developed a scalable telemetry dashboard using TypeScript and React, which included interactive real-time charts to significantly enhance system diagnostics for in-game performance. This project, combined with my work on a cost-effective library for processing WebRTC stream statistics with AWS, demonstrates my capability to build robust and scalable solutions in dynamic environments. My proficiency extends to Python and SQL, enabling me to support critical platforms and contribute to operational efficiency. Further, my experience at ByteDance involved creating an innovative mesh structure to visualize sales distribution, reducing server workload by 30%. I also formulated a collaborative filtering model that boosted targeting accuracy by 16%, showcasing my ability to leverage data analysis and machine learning for impactful solutions. These achievements reflect a commitment to optimizing processes and designing resilient systems, crucial for modernizing platforms like those at BECU. My academic background in Computer Science, including an M.S. from Georgia Institute of Technology, has provided me with a strong foundation in object-oriented design, algorithms, and best practices. I am eager to apply my technical expertise and problem-solving skills to contribute to BECU's mission and collaborate with a purpose-driven team to shape its technology roadmap. Sincerely, Qiupu Shen

Qiupu Shen

Dear Hiring Manager, I am writing to express my enthusiastic interest in the Software Developer position at BECU. My experience as an SDE Intern at Amazon, where I reduced issue detection time for real-time troubleshooting by 60% through the implementation of a comprehensive quality indicator, aligns perfectly with BECU's focus on secure and smoothly running systems for member money management. During my internship, I developed a scalable telemetry dashboard using TypeScript and React, which included interactive real-time charts to significantly enhance system diagnostics for in-game performance. This project, combined with my work on a cost-effective library for processing WebRTC stream statistics with AWS, demonstrates my capability to build robust and scalable solutions in dynamic environments. My proficiency extends to Python and SQL, enabling me to support critical platforms and contribute to operational efficiency. Further, my experience at ByteDance involved creating an innovative mesh structure to visualize sales distribution, reducing server workload by 30%. I also formulated a collaborative filtering model that boosted targeting accuracy by 16%, showcasing my ability to leverage data analysis and machine learning for impactful solutions. These achievements reflect a commitment to optimizing processes and designing resilient systems, crucial for modernizing platforms like those at BECU. My academic background in Computer Science, including an M.S. from Georgia Institute of Technology, has provided me with a strong foundation in object-oriented design, algorithms, and best practices. I am eager to apply my technical expertise and problem-solving skills to contribute to BECU's mission and collaborate with a purpose-driven team to shape its technology roadmap. Sincerely, Qiupu Shen

Available to hire

Dear Hiring Manager,
I am writing to express my enthusiastic interest in the Software Developer position at BECU. My experience as an SDE Intern at Amazon, where I reduced issue detection time for real-time troubleshooting by 60% through the implementation of a comprehensive quality indicator, aligns perfectly with BECU’s focus on secure and smoothly running systems for member money management.

During my internship, I developed a scalable telemetry dashboard using TypeScript and React, which included interactive real-time charts to significantly enhance system diagnostics for in-game performance. This project, combined with my work on a cost-effective library for processing WebRTC stream statistics with AWS, demonstrates my capability to build robust and scalable solutions in dynamic environments. My proficiency extends to Python and SQL, enabling me to support critical platforms and contribute to operational efficiency.

Further, my experience at ByteDance involved creating an innovative mesh structure to visualize sales distribution, reducing server workload by 30%. I also formulated a collaborative filtering model that boosted targeting accuracy by 16%, showcasing my ability to leverage data analysis and machine learning for impactful solutions. These achievements reflect a commitment to optimizing processes and designing resilient systems, crucial for modernizing platforms like those at BECU.

My academic background in Computer Science, including an M.S. from Georgia Institute of Technology, has provided me with a strong foundation in object-oriented design, algorithms, and best practices. I am eager to apply my technical expertise and problem-solving skills to contribute to BECU’s mission and collaborate with a purpose-driven team to shape its technology roadmap.
Sincerely,
Qiupu Shen

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Experience Level

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Language

English
Fluent
Chinese
Fluent

Work Experience

SDE Intern, ML at Amazon
May 1, 2024 - August 31, 2024
Built a low-cost library to poll and process WebRTC stream statistics with AWS into local quality metrics. Built a scalable telemetry dashboard with interactive real-time charts and statistics using TypeScript and React, significantly enhancing system diagnostic process for in-game performance. Reduced 60% issue detection time for real-time troubleshooting with quality indicator.
Data Analysis Intern at ByteDance
June 1, 2022 - September 30, 2022
Made product recommendation strategies for ByteDance e-commerce. Improved recommendation model by extracting key sale-driving features using Gaussian model. Visualized sales distribution with a mesh structure reducing server workload by 30%. Developed a collaborative filtering model for recommendations increasing targeting accuracy by 16%.

Education

M.S. in Computer Science at Georgia Institute of Technology
September 1, 2023 - June 1, 2025
B.S. in Computer Science at University of Liverpool
September 1, 2021 - June 1, 2023
B.S. in Information & Computer Science at Xi’an Jiaotong-Liverpool University
September 1, 2019 - June 1, 2021
M.S. in Computer Science at Georgia Institute of Technology
September 1, 2023 - June 30, 2025
B.S. in Computer Science at University of Liverpool
September 1, 2021 - June 30, 2023
B.S. in Information & Computer Science at Xi’an Jiaotong-Liverpool University
September 1, 2019 - June 30, 2021

Qualifications

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Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Media & Entertainment, Gaming