Role

Software Engineer

Status

active

Stack

Node.js, Python, AWS Rekognition, DynamoDB, Kubernetes

Highlights

  • Built cloud-native workflows for image ingestion and validation.
  • Supported growth to 2,000+ active users in the first months.
  • Integrated AI-driven checks for age verification and identity consistency.

Links

This project focused on reliability and speed for a mobile-first product.

The architecture used event-driven processing and cloud-native services on AWS to keep latency low while handling spikes in photo uploads.

What I delivered

  • Designed backend APIs for upload, moderation, and profile verification.
  • Introduced observability and failure recovery paths for processing jobs.
  • Improved recommendation quality by integrating graph-based user relationships.
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