Yi Ling
Atlanta,GA
Summary
A computer science Ph.D with 8 years software development experience who is passionate about building customer obsessed product.
Overview
9
9
years of professional experience
Work History
Tech Lead - ML Infrastructure SDE2
Amazon
Atlanta, GA
12.2020 - Current
- Pioneered a GenAI ML experimentation platform for autonomous 24/7 model iteration, adopted by 2 teams, driving +487 bps network and +218 bps domicile WAPE gains and fixing a 27% over-bias issue in 2 days; presented to VP leadership.
- Led a cross-functional team to productionize an end-to-end ML forecasting model, reducing peak-period forecast error 25.58% → 18.39% and runtime 3h → 33m (5.45×) through optimized feature engineering and LightGBM tuning.
- Built a comprehensive automated backtesting framework for historical runs with custom deployments and automated metric evaluation, eliminating manual forecast review from research team and reducing effort from weeks → a few SDE hours; in use since 2025.
- Built a stacking model platform for seamless onboarding of forecast signals, boosting NA peak accuracy +150 bps and scaling to EU/rest-of-world for +1200 bps WAPE improvement network-wide.
Software Development Engineer II
Amazon
Nashville, TN
07.2020 - 12.2020
- Architected and delivered scalable backend services (I-9 verification, pre-hire workflows) for Amazon Simple Hire using AWS (API Gateway, SQS, Lambda, S3, DynamoDB), supporting millions of users with high reliability and extensibility.
- Served as OE (Operational Excellence) Champion, driving process and on-call improvements that cut total ticket volume by 13% and high-severity incidents by 23%.
Java Software Developer
Intercontinental Exchange
Atlanta, GA
09.2018 - 07.2020
- Designed and implemented a lightweight trade reconciliation framework in Java with optimized memory and CPU usage, supporting in-memory reconciliation, intraday comparisons, and offline matching.
- Collaborated with Oracle and GemStone teams to resolve stale data issues and implement skip rules, improving data accuracy and system reliability.
- Contributed to team development standards by sharing best practices and example code changes across teams.
- Authored clear documentation for business and QA stakeholders, defining key FIX protocol fields to improve usability and cross-team understanding.
Software Engineer
Feedzai
San Mateo, CA
06.2017 - 09.2018
- Collaborated with data scientists to support development of machine learning–based fraud detection solutions.
- Implemented backend modules in Java for ML systems, including RESTful data ingestion APIs and rule engine components, integrating with Oracle, Cassandra, ZooKeeper, and RabbitMQ.
Education
Ph.D. - Computer Science
Missouri S&T
Missouri City, MO01-2017
Skills
- Machine Learning Infrastructure
- Model and Feature Productionalization
- Backend services
- Cloud computing
Timeline
Tech Lead - ML Infrastructure SDE2
Amazon
12.2020 - Current
Software Development Engineer II
Amazon
07.2020 - 12.2020
Java Software Developer
Intercontinental Exchange
09.2018 - 07.2020
Software Engineer
Feedzai
06.2017 - 09.2018
Ph.D. - Computer Science
Missouri S&T