Selected engineering work

Projects & systems

Representative areas of engineering experience. Detailed implementations and internal systems are not publicly shared.

Production ML inference

Multimodal brand-safety inference

Production classification pipelines for video, audio, and images, using GPU-optimized models and multimodal processing.

PyTorchGPU inferenceMultimodal
Active learning / MLOps

Iterative model improvement

Databricks workflows combining vector search, LLM-assisted annotation, PyTorch training, MLflow, and Kubernetes deployment.

DatabricksMLflowKubernetes
Distributed systems

Distributed DAG execution

Runtime DAG construction, parallel execution, and resource allocation across distributed workers.

RayDAGsScheduling