Worked on simulation backend and cloud infrastructure in an early-stage MFT pod
- Deployed and managed various services on GCP including compute engine, cloud storage, spanner, monitoring/logging, IAM
- Parallelised backtest workflows by routing jobs to individual, dynamically-sized instances instead of a managed instance group
- Reduced cloud computing costs ~60% with a microservice that monitors compute instances and automatically resizes/start/stop them
- Designed Terraform configurations to orchestrate complex, dependency-heavy microservice deployments, ensuring repeatability
- Extended backtesting pipeline with features such as custom multi-instrument books, trading restrictions and hedging with index futures
- Worked extensively with polars for manipulating of dataframes to express desired business logic
[Python]
Worked on backend systems facilitating First-Mile delivery between TikTok Shop sellers and delivery hubs
- Expanded platform into new geographical markets by migrating existing code and infrastructure
- Responded to and resolved production incidents occuring during EU hours
- Improved inter-service reliability and decoupled architecture by deprecating RPC in favor of Kafka
- Enhanced user experience by migrating to async patterns with the Frontend team
[Go]
Worked on latency-sensitive features for interfacing with Autonomous Vehicles [C++]
Built from scratch trade execution and market data systems on Binance/OKX [Python]
Early efforts building a C++ matching engine/aggregator with a multi-threaded epoll server [C++]
Worked on a project to revamp legacy infrastructure with an Event-Driven architecture [Python]