Max Jiang

Launched Cross-Region Automated Backups in 4 new AWS Regions, reaching region parity with core RDS backups Modeled snapshot export throughput as a power law of table size and proposed size-normalized performance monitoring Projected 91% data volume reduction for a proposed incremental database snapshot export feature via size-stability analysis of 2.4M series

Software Development Engineer – AWS RDS Backups at Amazon (2025-09 – Present)

• Launched Cross-Region Automated Backups in 4 new AWS Regions, reaching region parity with core RDS backups
• Modeled snapshot export throughput as a power law of table size and proposed size-normalized performance monitoring
• Projected 91% data volume reduction for a proposed incremental database snapshot export feature via size-stability analysis of 2.4M series
• Building an automated, multi-stage AI-agent pipeline (scan, validate findings, prioritize by impact, implement) that opens code reviews for bugs and issues (error handling, config, etc.)

Global Markets Intern – Credit Algorithmic Trading at UBS (2024-09 – 2024-12)

• Researched equity-based signals for IG corporate bond return prediction; diagnosed out-of-sample degradation via regime change and spread-beta confounds, recommending against inclusion
• Analyzed client trading around FOMC announcements (volume, anonymity, matched long/shorts), informing risk thresholds and client tiering
• Improved ridge regression out-of-sample correlation from 18% to 21% via rolling retraining with optimized lookback windows
• Optimized Python/Pandas intraday signal computation pipeline by 40% via vectorization and profiling

Software Engineer – Distributed Data Storage & Management Lab at Huawei Technologies Canada (2024-01 – 2024-04)

• Designed & implemented a parallel vacuuming system for the LSM tree index in C++, achieving up to 6x query performance improvement on benchmarks

Research Assistant – Dept. of Statistics & Actuarial Science at University of Waterloo (2023-09 – 2023-12)

• Derived an algebraic bias-variance decomposition of the AUC metric and analyzed trade-offs across classification models via simulation

Bachelor of Mathematics in Computer Science & Statistics – University of Waterloo (2020-09 – 2025-04)