Oct 2023 – Present · 2 yrs 8 mos

• 1. Developed a Java-based backend service using REST APIs, AWS Lambda, DynamoDB, SNS, and SQS to orchestrate manual
• measurement workflows by tracking UI state, enforcing validations, triggering alerts, and notifying consumers upon
• completion, enhancing measurement accuracy in the Amazon portal for hard-to-measure objects and reducing seller fees
• dispute tickets by 25%.
• 2. To address duplicate measurement captures caused by rapid photo captures of multiple units, developed a high-throughput
• batching service using AWS Lambda, Kinesis data stream, and SQS to aggregate duplicate item entry events within a
• one-minute window, reducing redundant calls and cutting downstream call volume by 15%.
• 3. Identified scripted usage patterns in removal API requests that led to misuse and triggered tickets due to excessive
• invocations, and fixed this by implementing user-level hourly and daily quotas with per-user usage tracking in DynamoDB to
• block scripted calls and ensure fair, controlled access, resulting in zero breach incidents post-implementation.

Jul 2022 – Oct 2023 · 1 yr 3 mos

• 1. Working on feature enhancement to optimize cost for auditing inventory
• 2. Added automation UI tests for catching failures early using Canary.
• 3. Handled workflow failures in the Orchestration Service.

Apr 2022 – Jul 2022 · 3 mos

• Optimised the process of storing data in DDB by modying the GSI and combining multiple records in a single document where searching was not required.
• Added Dashboards creation on config level for easy addition and better monitoring systems.

Jul 2020 – Mar 2022 · 1 yr 8 mos

• Worked on Lambda cold start errors,
• Ignored the duplicate requests of the service by adding idempotency keys.
• Handling SQS message large payload>256KB via S3.
• Handled the records in DDB where record size exceeded 400KB.