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Senior Software Engineer | 2021

Security Engagement Platform

Engagement platform featuring model-driven suggestions, GraphQL performance upgrades, and resilient cloud deployments.

ReactDjangoGraphQLAWSDialogflow

Impact

Raised satisfaction scores to 4.2/5

Reduced average query time by ~2 seconds

Cut monthly downtime by over 30%

Increased monthly active users by 15%

Reduced downtime from ~3 hours to just over 2 hours per month

Metrics

+25% user interaction+15% MAU-1 hr downtime
Overview

What we built

A security platform that boosts engagement through intelligent suggestions, responsive workflows, and performance-focused APIs. The system balances real-time interactivity with reliable backend performance and uptime.

Challenge

The platform needed faster data delivery, higher engagement, and more reliable cloud operations. API bottlenecks and UI friction were impacting adoption.

Solution

Implemented model-driven suggestion bots, optimized APIs with GraphQL, and hardened deployments with Docker and AWS. UI improvements streamlined critical user journeys and reduced drop-off.

Responsibilities

  • Designed model-driven suggestion workflows and engagement flows
  • Refactored data access with GraphQL for faster retrieval
  • Improved frontend UX and responsiveness for key journeys
  • Managed cloud deployments, monitoring, and uptime improvements
  • Partnered with product to prioritize high-impact features
  • Integrated Dialogflow for conversational support experiences
  • Defined GraphQL schemas and resolvers for efficient data access

Technology stack

React.jsDjangoGraphQLReduxRedux SagaAWSDockerDialogflowClass Transformers

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