Tanmoy Mahajan

Engaged in developing and implementing a system aimed at automating the processing of apps submitted to Amazon Appstore for certification. This involves conducting various checks, including malware detection, device compatibility assessment, and adherence to Amazon Appstore policies. This aims to achieve the following milestones:
• Reduce time to publish an app down from 7 days to 1 day.

• Reduce manual policy check AHT (avg. handling time) to TECHNOLOGIES USED: JAVA, AWS Dynamo DB, AWS StepFunctions, React

Developed a process to automatically detect Intellectual Property violations by newly submitted apps:

• 4% increased detection of fraudulent apps.

TECHNOLOGIES USED: JAVA, AWS Opensearch, AWS Glue

Re-architected and implemented the existing certification portal (Content Ingestion Console) to create a new modern and performant portal (Appstore Lifecycle Portal):
• Reduced page load times down from 60s to 2s.

• Reduced app search times down from 60s to 200ms.

• Reduced AHT of app testers by > 95%

• Quality of life improvement for 500+ consumers of the portal.
TECHNOLOGIES USED: JAVA, AWS Opensearch, React

Automated processing of Legal Trade Confirmation Documents.
• Read and extract legal language and trade details from pdf documents
• Automate the confirmation process
• This automation eliminated manual data verification by users and hence improved productivity
TECHNOLOGIES USED: JAVA, SPRING BOOT, AGILE, SQL DB, REST API
* INVOLVED IN DESGIN AND ARCHITECTURE

Automated Non-Alert SSI processing, which resulted in the following:
• 50% reduction in incidents arising due to incorrect SSI setup
• Elimination of multiple client outreaches and increased scalability
• $208K save on claims as a result of reduced manual errors + delays
• Reduced turnaround time for setups from 5 minutes to TECHNOLOGIES USED: PYTHON, INSTABASE (THIRD-PARTY TOOL), AGILE
* INVOLVED IN DESGIN AND ARCHITECTURE

Designed and developed a UI for a product called WorkQueue, which automated manual processes.
• ~ 90% reduction in manual labor. Saved about 30 man-hours per week
• ~ $500K saved by reduction in manual effort for that financial year
TECHNOLOGIES USED: ANGULAR, TYPESCRIPT, JAVASCRIPT, HTML, CSS

• Supporting a product called M360, which is Goldman Sachs’s trading platform
  Technologies Used: Java, Elasticsearch
• Enhanced/Added new features to an existing old UI for improved functionality and
  performance. Technologies Used: XML, XSLT
• Designing and developing a support portal for M360. Technologies Used: Workflow,
  Angular