Nishchay Mago

About Nishchay Mago

I’m a Software Engineer working across large-scale distributed systems, backend engineering, and applied machine learning. I enjoy building reliable, high-throughput services and solving performance problems end-to-end, from architecture to production debugging.At Amazon, I work on backend systems that handle high volumes, low latencies, and strict SLAs. Before that, I built and shipped production services at Blinkit, and completed my B.Tech in IT from NSUT. I primarily work with Java, Spring, Go, Python, and have hands-on experience with microservices, caching, concurrency, CI/CD, cloud infrastructure, and optimizing real-time pipelines.I’m also actively building depth in machine learning and deep learning through Stanford’s CS230, academic research, and projects like speaker diarization using LSTMs and clustering.I’m looking to grow as an engineer in environments that value strong system design, reliability, and impact.

Experience

1. Software Development Engineer

   Amazon

   Apr 2025 — Present · Hyderabad, IN

   Migrated 30+ TB of operational data cross-region (DUB → ZAZ), cutting read/write latency by ~30% and removing critical bottlenecks in first-mile workflows.Designed a dual-write architecture with DynamoDB Global Tables, enabling region-local low-latency writes, reliable replication, and strong data correctness under peak load.Designed and built a cross-region data pipeline (Java, DynamoDB Streams, Lambda, SQS, Glue) powering hourly forecasting across NA/EU/ES and eliminating high-frequency API dependencies through a scalable data-lake model.

Education

• Netaji Subhas Institute of Technology

  Bachelor of Technology - BTech

  2020 — 2024