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Tech Lead | 2024

Network Infrastructure Dashboard

Modernized a data-rich enterprise dashboard with microservices, automation, and resilient UI layers.

ReactDjangoMicroservicesAWSRedux

Impact

Improved scalability by 30% with microservice architecture

Reduced load times by 50% and downtime by 25%

Automated operations to cut manual effort by 40%

Improved observability with better metrics and alert workflows

Improved MTTR with runbook automation and alert routing

Metrics

+30% scalability-50% load time-25% downtime
Overview

What we built

An enterprise-grade operations platform that aggregates network telemetry, provides real-time insights, and drives automated workflows. The architecture supports multi-tenant access, role-based controls, and high-volume event ingestion for operational reliability.

Challenge

The system faced scale constraints, slow load times, and manual operational runbooks that limited reliability. Data access patterns were inefficient and UI state was difficult to reason about across complex workflows.

Solution

Introduced microservices with clear domain boundaries, optimized data access with targeted query tuning, and rebuilt the UI with responsive patterns and predictable state. Automation reduced manual runbooks and improved mean time to resolution.

Responsibilities

  • Led end-to-end architecture for frontend, backend, and data flows
  • Defined service boundaries, API contracts, and deployment strategy
  • Integrated automation for operational runbooks and alerting
  • Shipped dashboards with real-time decision support and reliability metrics
  • Mentored engineers on scalable UI patterns and performance tuning
  • Optimized database queries and caching for high-volume telemetry

Technology stack

PythonDjangoReact.jsTypeScriptReduxAWS LambdaDynamoDBPostgreSQLMicroservicesAWSGitLabGitHubJIRA

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