Backend Engineer | Distributed Systems | High-Scale Architectures

I build backend systems that handle scale, not just features.

• Design distributed, event-driven systems
• Build high-throughput microservices
• Optimize for latency, reliability, and fault tolerance
• Work close to production systems, debugging, and performance bottlenecks

• System Design & Distributed Systems
• Microservices Architecture
• Event-Driven Systems (async workflows, webhooks)
• Database & Query Optimization
• Caching Strategies (Redis, Memcache)
• Production Debugging & Reliability

Languages
Java (11/17), C++, SQL

Backend
Spring Boot, Hibernate, REST APIs, Microservices

Databases & Infra
MySQL, MongoDB, Redis, Memcache, Elasticsearch, Docker

Cloud & DevOps
Google Cloud Platform (GCP), CI/CD, Docker (basic), Git, AWS

AI & Developer Tools
OpenAI APIs, Claude, ChatGPT, Codex
(used for productivity, automation, and developer workflows)

• Built scalable backend systems handling high-volume event flows
• Designed resilient integrations across external platforms
• Reduced latency via query optimization and caching layers
• Improved system observability and production debugging

Distributed Rate Limiter

• Sliding window algorithm with Redis
• Designed for horizontal scalability & low-latency enforcement
• Ensures fair usage in high-concurrency environments

• 1000+ DSA problems solved (LeetCode, Codeforces)
• ACM ICPC Regionalist
• Problem Setter (Unacademy, Mercer Mettl)

• LinkedIn: https://linkedin.com/in/skshivamkedia
• LeetCode: https://leetcode.com/skshivamkedia
• Email: skshivamkedia96@gmail.com

Good systems don’t just work — they scale, fail gracefully, and recover fast.