Data Software Engineer Intern @ EPAM | Building production systems with real user adoption
Real-Time Market Surveillance Platform
- Distributed monitoring system processing 2.4M+ daily API requests
- 99.9% uptime over 30-day period with zero crashes
- Intelligent rate limiting across 300+ credentials
- Python (asyncio), SQLite, systemd
- Financial analytics platform serving 400+ active users
- 70 daily active users (17.5% retention)
- Cloudflare Workers backend with custom auth
- JavaScript, Cloudflare Workers
Languages: Python, JavaScript, SQL
Backend: asyncio, aiohttp, Node.js, Express, Cloudflare Workers
Data: SQLite, ETL pipelines, real-time change detection
DevOps: systemd, VPS deployments, circuit breaker patterns
- 🏆 LeetCode: 200+ problems solved
- 📦 Production systems with 400+ active users
- 🎯 2.4M+ API requests processed daily
- ⚡ Sub-50ms query latency
- LinkedIn: linkedin.com/in/snehaldevrani
- Email: [email protected]
💡 I ship code that runs in production. Check out my pinned repos below.