← Back to Case Studies

PyStudio Platform

PyStudio Platform

Co-founded and architected the technical portion of a web-based predictive modeling platform that democratized access to Python's ML capabilities through an intuitive, scalable interface. Collaborated closely with data scientists and executive leadership to align technology with business goals.

Technical Deep Dive

Architecture Overview

The platform was built on a modern, multi-tiered architecture that separated concerns while maintaining high performance:

  • Service Layer (C#) - Handled user management, session orchestration, and platform operations
  • Execution Layer (Python) - Managed secure model execution and computational tasks
  • API Layer - RESTful interfaces for platform extensibility and integrations

Security & Multi-tenancy

  • Isolated workspace environments
  • Secure model execution boundaries
  • Role-based access control
  • Resource usage monitoring and limits

Cloud-Ready Infrastructure

  • Containerized deployment with Docker
  • Horizontal scaling capabilities
  • Usage-based resource allocation
  • Automated environment management

Tech Stack