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Mindpeak builds automation tools for cancer diagnosis using deep learning on medical images. The tech stack—Python, FastAPI, PostgreSQL, Kubernetes, Dagster, Kubeflow—reflects a data-intensive ML infrastructure business: they're operating containerized image processing at scale, orchestrating complex pipelines, and serving AI models in clinical workflows. Hiring is accelerating across engineering (6 roles) and product (2 roles), with a seniority mix weighted toward senior and C-level positions, indicating rapid product expansion and leadership scaling.
Tech Stack 21 technologies
Core StackPython Django FastAPI PostgreSQL MySQL Docker Kubernetes Linux Dagster Kubeflow React AWS GitLab CI/CD DVC CI/CD Argo CD Docker Swarm Microsoft Office Google Docs LinkedIn Recruiter Google Workspace
What Mindpeak Is Building
◆Challenges
- Managing large whole-slide images
- Automating repetitive operational processes
- Power efficient case routing in diagnostic labs
- Scaling ai model serving
- Scaling ai pipelines
- Ensuring database reliability
- Automating workflow execution
- Integrating pathology hardware and software
- Eliminating manual paperwork
- Scalable product launch
▲Active Projects
- New platform for digital pathology
- Automation of data annotation pipeline
- Scalable ai model apis
- Case distribution tool
- Ai pipeline backend services
- Containerized image processing systems
- Workflow automation across distributed systems
- Ai agents and automated workflows for legal, security, and hr use cases
- Data management for operational data
- Integration of internal tools with ai models
Hiring Activity
10 roles · 9 in 30d
Department
Seniority
Company intelligence
