Eshita Kalsi

At Walmart Global Tech, I build supply-chain and demand-forecasting platforms, including a Hazelcast-based distributed processing engine that handles 105M+ records in under two hours.

I've created reusable Java frameworks adopted across 10+ production services, cut duplicated code and recurring defects, and migrated backend services from Elasticsearch to DuckDB to reduce infrastructure costs by 40% while improving query performance 3×. I also built SLA monitoring across six microservices, migrated services to single-tenant Kubernetes, and developed an organization-wide AI release-notes agent.

I mentor engineers on Spring Boot, distributed systems, and design fundamentals, and previously built Python/Scrapy crawlers at magicpin to enrich retail product catalogs with real-time pricing and availability.