Naman Indranil

Designed and implemented a new B2B Order vertical as a set of microservices from scratch using Java, Spring Boot, REST APIs, enabling scalable processing of large data volumes and contributing to a 20% revenue increase. Mentored two SDE-1s in module knowledge, coding practices, system design, and debugging techniques. Led code reviews, improving code quality and provided training sessions and On-Call playbook, lowering resolution time by 30%. Optimized SQL queries by analyzing explain plans, time complexity, index misses to bring P99 to under 10 ms. Spearheaded the development and launch of a new product line, leading a team of 3 Developers to deliver android & ios Apps within an aggressive 2-month go-to-market timeline, driving product innovation from the ground up. Achieved 5-star performance ratings in consecutive annual reviews for FY 22-23, 23-24 & 24-25, recognizing outstanding contributions to team success, project delivery, and business impact. Also received the Gold Standard Award in FY 22-23, 23-24 & 25-26, awarded to the top 1% of performers. Worked on Security measures against Host-Header Injection Attacks at filter chain & improved existing CSP rules. Engineered an XML-based framework for seamless import & export of data between Excel/CSV files and SQL & NoSQL datasources. Actively participated in system design discussions, architecture reviews, sprint planning, and authored Swagger-based API documentation & documented state machine workflows on Confluence. Improved performance of core APIs by 26% (P99) and 34% (P95), under 100 ms, reducing server load and improving overall system reliability. Created a data streaming pipeline for Inventory Ledger, an inventory audit tool, providing 99.96% median accuracy, handling 100 GBs of data per day. Used Envers, SQL Procedures, Java and Spring Boot. Automated reports to track variances & give visibility of User Adoption. Documented the microservice for easy extension. 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. Reduced Order processing time by 30%, 1.5 minute/order, via bulk & batched operations support in Android APIs. Recognized for high ownership & consistent availability in production support cycles, resolving P0 incidents under 1.5 hours and P1 incidents under 4 hours.

Built an API alerting and monitoring system using Python, Elasticsearch, Grafana, and Kibana, enabling real-time monitoring and faster debugging. Automated repetitive on-call support workflows, significantly reducing operational overhead for engineering teams.