OUR PROJECTS
Model Inference Service

Real-time inference API service for invoking deployed AI models with resilient, enterprise-ready request handling.

Duration
1 Year
Year
2024
Region
USA

Model Inference Service is a Spring-based inference layer that exposes model scoring and model-info endpoints for production consumers.

It is designed for secure and reliable runtime invocation of machine learning models, integrating with broader fraud and AI service dependencies in the ecosystem.

Problems

Online model scoring needed a stable, secure, and low-latency interface for downstream systems.

Opportunities

Separate inference concerns from training/batch workflows for better operational reliability.

Solutions

Implemented dedicated inference service architecture with model endpoints, logging controls, and enterprise dependency integration.

Future Trends

Dynamic model routing, canary inference, and latency-aware autoscaling.

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