PRIYANKA SINGH

• Designed and built the Service Request Framework, streamlining the various requests process for Bank & Payzapp customers along with revamped Operations Center 2.0.
• Ensured scalability and load handling for the Payzapp Rewards Computation service, delivering a bug-free solution and managing business-critical incidents.
• Developed the Zappcredit Rewards Computation service for enhanced reward point structures (5X and 10X).
• Led the design and implementation of a centralized Exception Framework to efficiently handle and resolve business and technical exceptions from clients.
• Designed and implemented a generic observability framework with dashboards and alerts for the Account Holder Service, incorporating cross-cutting concerns.
• Led the building and scaling of the Rhea platform on top of Camunda BPMN, fostering BPMN workflow automation.
• Worked on Camunda upgrade to Kogito vs Camunda 8, BPMN Workflow builder & Camunda External Worker.
• Designed key functionalities for Rhea platform:

- Bulk upload of workflows

- Smart Task Explorer for multi-role workflows with secure cipher authentication

• Delivered a scalable solution for custom queries on Camunda variables using Postgres and MongoDB.

• Build a Cohort based profile, and show engaging and relevant content recommendation to users based on their cohort information

Ads Data Team

• Responsible for leading and designing user ads data to make it PII complaint using encryption, authentication strategy e2e and scale the system to generate reports for upto 6 months of data
• Design and build a solution for onboarding ads Grocery supermart for reporting to the advertisers
• Worked on design and solution Realtime Reporting and Feedback system that will power multiple use-case for ads and merchandising reporting and for systematic consumption in order to move towards lambda approach and reducing dependency on batch system

User Intent - Recommendation team

• Designed and built ETL pipelines at ingestion layer such as unified user generated Events at scale and widget ranking data for modelling
• Responsible for introducing/designing/leading Airflow platform for workflow management for scheduling ML and data pipelines.
• Built a tool for internal recommendation metrics visualization
• Worked as part of designing a revamped User Recommendation system. Designed and implemented batch pipeline for product to facet user recommendation. Also, benchmark Spark streaming cluster to scale it for production and BBD sale
• Implemented Grocery Recommendation on Flipkart page

• Worked on leading/designing/building a Pricing Service: A new microservice with more flexibility, scalability, performance to meet all the future needs including the more complex aspect of pricing such as dynamic pricing.
• Build a RESTful web service for the payments using the Dropwizard framework. 1st web service to be separated from the monolith. This also included Paytm e2e integration

Technologies: Dropwizard, quartz, hazelcast

• Worked extensively on various payment gateways like juspay, citrus pay. Integrated paytm, citrus wallet and created an automated reconciliation refund system to reduce CS overhead
• Implemented cash on delivery feature using Bluedart api
• Tripbuddy: Built a location based personalised notifications service using user’s GPS data
• Setup ELK dashboard on Kibana for API calls and errors

Technologies: SOAP, Sidekiq worker, redis, memcached, logstash, elasticsearch

• Developed an algorithm for user to reschedule confirmed booking and created booking cart(session/cookie based) using recent search
• GPS data storage, query optimisation and aggregation on t4u/intellicar devices of vehicle
• Webengage integration for user survey
• Optimised search algorithm for FAQ page

• Training on Computer Networking & Management.
• Learnt networking related software tools, hacking, DNS spoofing, Network Security etc