Kaiyang Ren
Software Engineer @Deepmanifold
Signup · Get unlimited contacts
WORK HISTORY
Software Engineer @Deepmanifold
纽约, NY, US
Contributed to DeepManifold’s research & signal platform across data ingestion, feature pipelines, and model serving.Built and maintained Kafka/Airflow jobs for LOB, fundamentals, and alt-data; added PTI checks, schema versioning, and data contracts.Implemented feature store components (Python/SQL) and caching layers used by backtests and online scoring.Shipped services for backtest orchestration and portfolio output export (FastAPI + Kubernetes), with unit/integration tests and runbooks.Added observability: metrics, logs, and traces for data jobs and services; created Grafana dashboards and basic SLO alerts.Helped productionize manifold-aware models with canary toggles, drift monitors, and safe rollback hooks.Wrote developer docs and quick-start notebooks; supported on-call rotations and bug triage with clear post-mortems.Collaborated closely with QR/ML to turn research code into runnable, reliable components—small PRs, frequent reviews, steady improvements.
EDUCATION
University of Southampton
Masters Degree, Computer Software Engineering
ABOUT KAIYANG REN
I’m a software engineer at DeepManifold building the rails that turn research into production—clean data pipelines, reliable feature stores, and services that ship models safely. I like tidy interfaces, observable systems, and small PRs that land every day. My day-to-day is Python/SQL with some Go/Java, Kafka/Airflow/Spark for pipelines, and FastAPI on Kubernetes for services. I care about point-in-time data, drift checks, and rollback hooks so quants can move fast without breaking trades. Mentor-friendly, on-call ready, and always biasing toward clarity, tests, and documentation. SDE @ DeepManifold — data → features → models → production, with guardrails
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.