ExpertsHub.ai Tech Stack
AI talent marketplace connecting businesses with vetted AI professionals
ExpertsHub.ai operates a two-sided marketplace matching enterprises with AI specialists. The tech stack reveals a services-delivery operation managing infrastructure at scale: the company runs inference systems (TensorRT-LLM, Triton, SageMaker, Vertex AI) across Kubernetes and multi-cloud (AWS, Azure, GCP), monitors GPU health in real time, and is actively adopting Kubernetes for orchestration. Active projects span both platform operations (inference monitoring, performance tuning) and internal scaling (test infrastructure, enterprise MDM), while hiring skews senior (4 of 6 engineering/data/security roles), suggesting they're stabilizing a production inference service rather than building early-stage features.
Tech Stack 27 technologies
What ExpertsHub.ai Is Building
◆Challenges
- Ongoing netsuite implementation
- Multiple moving parts
- Operational reliability of llm inference systems
- Real-time performance tuning across clusters
- Gpu health monitoring
- Enterprise mdm implementation
- Data migration and quality initiatives
- Improving test coverage
- Automation efficiency
- Supporting vehicle launch
▲Active Projects
- Netsuite implementation
- Third-party bundle integration
- Go-live readiness and post-go-live support
- Ai inference service monitoring for performance and availability
- Real-time performance tuning across multi-node clusters
- Developing observability dashboards for gpu health
- Enterprise mdm implementation
- Test infrastructure expansion
- Python test framework development
- Manual test asset automation
