Mehak Goyal

• Currently leading the platform modernization team of 8+ engineers within Fintech organization.
• Working on improving payment reconciliation system to ensure seamless and faster payments to Priceline's supplier partners.
• Created a recon mismatch analyser tool for this to find out root causes for the recon mismatches in an automated way which has greatly improved the developer productivity.
• Leading the initiative to migrate the invoicing related capabilities from on premise system to the Kubernetes
• This involves creating new microservices based architecture and decommission the old informatica systems.
• Communicated project plans, tracking details, status updates, and risk mitigation plans to cross-functional team.
• Foster a culture of innovation, continuous improvement, and knowledge sharing within the engineering department.
• Collaborate with stakeholders to define project scope, goals, and deliverables, establish timelines, budgets, and resource allocation and ensure project milestones are met.

• Designed and delivered an invoice investigation software that detects the aging invoices in the company's sub-ledger and investigating the root cause behind it
• Using the analysis done, required actions can be taken to close the invoices and make timely payments
• This tool processes approx 1 million records per supplier
• Worked on design and implementation of payment reconciliation for Hotel suppliers
• Independently lead a team of 4 people
• Developed and deployed scalable and highly available software products.

• Worked on design and implementation of payment reconciliation of Rental Car suppliers
• Collaborated with product and business team in implementing effective solutions.
• Developed robust, scalable, modular and API-centric infrastructures.
• Played a key role in implementing and enforcing engineering standards, quality control processes, and compliance with

industry regulations.

• Worked on runtime personalized question generation based on user's click behavior
• Realtime customization of recommendations on home page and APP based on user feedback to questions asked
• Worked on a real-time personalization service with experiment capability
• Worked on sending personalized campaigns to users with content variability based on various categories and AB experimentation
• Upgraded legacy codes to Java 8

• Worked on a real-time personalization service with experiment capability, causing increased user engagement on the home page and product feeds
• Worked on internal projects - Vigilante, which detects abnormal behavior in system and sends an alert to system owners
• Best Platform and Machine learnt time algorithm design to increase customer reach via communications
• Developed communication framework for Snapdeal catering to multi-platform promotional and transactional messaging requirements for platforms like SMS, Email, WhatsApp, FCM notifications, IVR

• Contributed to the in house Big Data Platform, in the data ingestion layer
• Plugged monitoring services like influxDB and Grafana in tomcats and created dashboards to plot realtime graphs
• Worked on performance optimisations and reducing code smells in legacy code to a minimum
• Framework for automating API testing and monitoring various components in real time

• Features enhancements, testing and bugs fixation on the company's main IoT product
• Creation of reporting dashboard app which included data manipulation and visualisation using custom views
• Developed a reporting tool ZEDI, based on MVC framework with PostgreSQL as the underlying database
• ZEDI was used to track employee activities
• The tracker calculated productivity and incentives based on the daily time records of the employees