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Droxi builds an AI-powered inbox companion for electronic health record systems, designed to automate high-friction clinician tasks like message triage, prescription refills, and lab result handling. The tech stack—Python, LangChain, Hugging Face, spaCy, RAG, and AWS infrastructure—reflects a natural-language-first approach to unstructured clinical data. Active projects span LLM product infrastructure, NLP end-to-end pipelines, and clinical decision support, while pain-point tracking reveals deep focus on provider overload and HIPAA/SOC 2 compliance—the hard regulatory constraints that slow most healthtech builds.
Tech Stack 23 technologies
Core StackPython pandas NumPy Salesforce LangChain Hugging Face RAG MLflow AWS Angular Figma AWS Lambda CloudFront GitHub Actions ArgoCD Terraform Kubernetes TikTok spaCy LoRA AWS EKS MongoDB Atlas IAM
What Droxi Is Building
◆Challenges
- Reduce provider overload
- Improve care team well-being
- Ehr inbox overload
- Optimizing application performance
- Integrating multi-modal data
- Administrative burden reduction
- Doctors’ daily workflows
- Maintaining hipaa compliance
- Ensuring soc 2 audit readiness
- Building infrastructure function from scratch
▲Active Projects
- Brand growth in u.s. healthcare market
- Onboarding experiences
- Us market tailoring
- Clinical decision support tools
- Automated document processing
- Multi-channel campaign execution
- Product lifecycle for inbox management solution
- Llm product infrastructure
- Database architecture for ai systems
- End-to-end nlp projects
Hiring Activity
10 roles · 6 in 30d
Department
Seniority
Company intelligence
