S
Suki embeds large language models (GPT, Llama) into EHR workflows to automate clinical documentation and improve coding accuracy. The engineering-heavy hiring mix—8 of 15 active roles—reflects active work on microservices architecture, CI/CD standardization, and scaling backend services across thousands of clinicians. Current projects signal a shift toward standardizing EMR integrations and building unified APIs, while pain points around slow sales cycles and rep performance suggest internal focus on sales motion efficiency alongside product scaling.
Tech Stack 44 technologies
Core StackLangChain Kubernetes Vertex AI Go Python C++ PyTorch gRPC JavaScript Docker React TypeScript Swift Kotlin GraphQL Jetpack Compose Redis GPT Llama LangGraph GCP vLLM JAX Transformers LLAMA Protocol Buffers Android SDK iOS Android Chrome+14 more
What Suki Is Building
◆Challenges
- Reducing administrative burden for clinicians
- Scaling platform for thousands of doctors
- Rearchitecting healthcare technology stack
- Standardizing emr integration platform
- Time-consuming administrative tasks
- Scaling backend services
- Inefficiencies in sales motion
- Slow sales cycles
- Low rep performance
- Complex product portfolio
▲Active Projects
- Emr integration platform development
- Microservices integration with health systems
- Unified technical strategy
- Ai at scale architecture
- Bridge research and production
- Design and implement robust apis and microservices
- Oversee backend service development and deployment
- Implement ci/cd best practices
- Priority mechanisms for selling activities
- Sales enablement playbooks
Hiring Activity
15 roles · 6 in 30d
Department
Seniority
Company intelligence