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
- Worked extensively with polars for manipulating of dataframes to express desired business logic
- 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 monitoring compute instances and automatically resizes/start/stop them as required.
- Extended backtesting pipeline with features such as custom multi-instrument books, trading restrictions and hedging with index futures.
[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 intefacing 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]