Die Hu
Summary
Technical Professional | Yale MSCS | Ex-Amazon SDE
Systems architect with 3+ years of experience building and optimizing Tier-1 infrastructure within the U.S. and China tech ecosystems. Specialized in Deep Tech and Data Infrastructure, with a proven track record of translating complex technical architectures into commercial value—specifically driving 75% OpEx reductions and $1M+ in rapid revenue growth. Seeking to leverage technical intuition and global perspective to source and evaluate high-growth investments.
Overview
6
6
years of professional experience
Work History
Software Development Engineer
Amazon.com, Inc.
New York, NY
07.2022 - 02.2025
- Operational Due Diligence & Efficiency: Architected a 75% reduction in cloud OpEx ($65k to <$16k/mo) for a Tier-1 service by right-sizing infrastructure and implementing a dedicated cache fleet; maintained latency-neutral performance while significantly improving bottom-line margins.
- Market Expansion & Revenue Growth: Engineered an end-to-end enterprise identity synchronization system that unlocked a new class of corporate clients, directly generating $1M+ in new revenue within the first 90 days.
- Data Integrity & Risk Mitigation: Diagnosed and remediated critical data failures in a large-scale account attribution system; implemented validation metadata that ensured 100% reporting accuracy for business-critical financial metrics.
- Scalable Infrastructure: Designed and executed serverless data migration pipelines (AWS Step Functions, Lambda, S3) for millions of records, demonstrating the ability to oversee complex project lifecycles from inception to execution.
Software Development Engineer
DataChat Inc.
Madison, WI
01.2020 - 05.2021
- Product Development (Conversational BI): Participated in the early-stage growth of a conversational business intelligence platform; built features enabling users to bridge the gap between natural language and complex data analysis.
- Performance Engineering: Leveraged Cython (C-Extensions for Python) to achieve a 900% speedup in file loading, proving the ability to identify and solve technical bottlenecks that impact user experience and retention.
- Security & Data Privacy: Implemented AES Encryption for user data sharing and storage; managed secure database schema migrations, ensuring high standards of data governance.
Intern Researcher (A.I. Algorithms)
Shenzhen Institute of Computing Sciences
Shenzhen, Guangdong
06.2019 - 09.2019
- Thematic Research (NL-to-SQL): Optimized natural language-to-SQL translation tools, achieving a 50% speedup in query conversion via cloud-module deployment and performance analysis.
- Ecosystem Exposure: Conducted research within the Shenzhen deep-tech ecosystem, focusing on the intersection of AI modeling and practical database application.
Education
Master of Science - Computer Science
Yale University
05-2022
Bachelor of Science - Computer Science
University of Wisconsin-Madison
05-2020
Skills
- Programming: Python (Cython), Java, Go, C, R, Julia (High-performance computing focus)
- Infrastructure: AWS (Step Functions, Lambda, S3), Docker, PostgreSQL, MySQL
- Analysis: Financial Modeling (Self-taught/In-progress), Competitive Benchmarking, Systems Logic
Timeline
Software Development Engineer
Amazon.com, Inc.
07.2022 - 02.2025
Software Development Engineer
DataChat Inc.
01.2020 - 05.2021
Intern Researcher (A.I. Algorithms)
Shenzhen Institute of Computing Sciences
06.2019 - 09.2019
Master of Science - Computer Science
Yale University
Bachelor of Science - Computer Science
University of Wisconsin-Madison