Ožbej Bohanec
← Back to projects

CNS Management Platform Optimization & Automation

Plain-English summary: I improved a Django/MySQL CNS administration platform through backend workflows, operational data modeling, graphing, slide rendering, APIs, and reliability-focused automation.

Executive summary

Improved a Django/MySQL administration platform for CNS and energy-management operations, covering locations, sensors, tariffs, analytics, graphing, slide rendering, APIs, and workflow guardrails.

Django Python Automation Reliability Admin Workflows MySQL REST APIs

Technical Architecture

Problem

  • Operational data workflows covered locations, sensors, tariffs, analytics, graphing, slide rendering, and API-backed administration.
  • Legacy compatibility and existing schema behavior had to be preserved while platform maintainability improved.
  • Changes needed to be incremental, verifiable, and safe for existing operational behavior.

What I built

  • Maintained and improved Django/MySQL workflows for operational data, graphing, analytics, and admin surfaces.
  • Supported REST API paths, slide rendering behavior, placeholder resolution, and legacy compatibility surfaces.
  • Added automation and verification guardrails around delivery readiness, scope control, and safer release behavior.
  • Kept backend, template, rendering, and diagnostic changes grounded in evidence before delivery.

My role

  • I handled backend services, Django templates, REST/API surfaces, data-model work, and operational automation planning.
  • I implemented reliability-focused changes and practical maintenance improvements without publicizing private operational details.
  • I aligned technical changes with day-to-day platform operations.

Constraints

  • Needed to preserve stable production behavior during incremental improvements.
  • Had to balance delivery speed with maintainability and risk control.
  • Detailed internal deployment and infrastructure specifics remain private.

Outcomes

  • More maintainable admin workflows and clearer operational data paths for recurring platform work.
  • Cleaner graphing, rendering, API, and administrative surfaces for incremental improvement.
  • Better delivery discipline through verification, workflow guardrails, and explicit proof limits.

Architecture decisions

  • Work performed as continuous optimization, not one-off rewrite.
  • Improvements aligned with product operations and service teams.
  • Reliability-focused delivery with incremental release discipline.

Public evidence

This page documents the verified work domains: Django and MySQL maintenance, API paths, graphing, slide rendering, admin workflows, and delivery guardrails.

Proof limits

Production topology, operational records, private source, internal tickets, customer context, and deployment credentials are excluded. No unverified efficiency metric is claimed.