Naman Indranil

Engineered B2B Order workflows from scratch, providing scalable & optimised APIs for large data volumes, lowering storage costs through efficient System Design. Mentored two SDE-1s in module knowledge, coding practices, system design, and debugging techniques. Led code reviews for features, improving code quality. Provided training sessions and issue resolution playbook for On-call support. Collaborated with Product Managers to translate business requirements into feasible technical solutions, meeting 100% on-time project deliveries. Worked with QAs to identify edge cases and increase test coverage through Unit tests & Integration tests. Worked on Security measures against Host-Header Injection Attacks at filter chain & improved existing CSP rules. Contributed to improving Server stability, on Outages roster, developing a deeper understanding of server internals, distributed system architecture, threads & transaction management, and slow query optimizations using Gen-AI. Proactively participated in Architecture discussions, Technical roadmaps, and used JIRA effectively to track tasks in SCRUM sprints. Created API documentation using Swagger for REST APIs and internal docs for core APIs.

Improved P99 by 28%, P95 by 42% of critical APIs, lowering Server load and improving User experience. Designed data streaming pipeline for Inventory Ledger, an inventory audit tool, providing 99.7% median accuracy, handling gigabytes of data per day. Used Envers, SQL Procedures, Java and SpringBoot. Developed Packing 2.0, a revamp of Order Fulfilment Operational workflow, enabling efficient & faster operations, lowered order SLA breaches and improving bottom line across 8000+ warehouses. Implemented CSP security policy in Uniware application, to comply with ISO/IEC 270001 security regulations. Reduced Order processing time by 30%, through bulk and batched operations support in Android application APIs. Recognised for High Availability, Smooth and Fast Resolutions of tickets in Production support cycles.

Developed an API alerting and monitoring tool using Python, ElasticSearch, Kibana, Grafana. Used by engineering and support teams for event monitoring, trend analysis, and debugging performance blockers. Automated repetitive tasks of client requests on on-call support, reducing on-call load for the team.