I enjoy working on backend systems and ML-driven infrastructure, with a focus on scalability, reliability, and clear trade-offs.
I like problems involving:
- High-throughput backend systems
- Data pipelines and messaging systems
- ML-driven decision and scheduling logic
- Observability, performance tuning, and cost optimization
- Languages: Java, TypeScript, C++, SQL
- Backend: Spring Boot, Node.js
- Data & Messaging: Redis, SQL, MongoDB, Trino, Kafka
- Infra & Observability: AWS, Grafana, Datadog
- Distributed system design patterns
- Search & retrieval systems
- ML-in-the-loop backend workflows
- Open-source backend and ML tooling
- Improving documentation and developer experience
- Debugging tricky edge cases and production-like failures
- Performance, scalability, and reliability improvements
- GitHub: https://github.com/GauravBansal29
- LinkedIn: https://linkedin.com/in/gaurav-bansal-11150b1bb
- Email: [email protected]
