Backend Developer
State Technical Service
Sep 2024 — PresentBuilt a high-load real-time chat and improved deployment efficiency and API response time.
• Developed real-time chat with 1000+ concurrent users by using Django Channels with Redis for tracking online presence, maintaining maximum 50ms latency and stable message delivery during high-load simulations • Reduced Docker image size by 40% by optimizing Dockerfiles by multi-stage builds, .dockerignore file, and slim base images - resulting in improving deployment speed and CI pipeline performance • Decreased average API response time by 30% by configuring Nginx as a reverse proxy with gzip compression and implementing Redis caching for frequently requested endpoints
