RAHUL SHARMA

S&P Global (Jan 2022- current)

• Enhancing on Automotive product backend to create Customer centric customized incentive campaigns based on customer profile and helping OEMs to run those campaigns on system to optimize number of sales in given budget of year.
• Technologies used : MongoDB, Asp.net Core 8, Docker , K8s, Google Pub/sub, PostgreSQL, Elastic APM, Google Cloud, Redis, CI/CD.
• Converted monolithic applications to microservice and pub-sub architecture to optimize processing of millions of records per day.
• Developed scalable applications using agile methodologies for timely project delivery.
• Enhanced team productivity by providing technical guidance and mentoring to junior engineers

Resume/Cover-Letter/Job listing :

• Enhanced multi-tenant web application for Resume-building and personalized job listings for leading resume builder like Zety, MyPerfectResume, LiveCareer
• Leveraged Asp.net Core, React, MVC, SQL Server and Azure Storage for fast web app development.
• Individually developed backend service in Asp.net Core APIs with Azure Storage for mobile apps.
• Re-architected Dashboard web app for streamlined operation across multiple products.
• Integrated Google and Apple payments, boosting paid user numbers by over 500% monthly.

Tek Travels:

• Revamped and modularized B2B travel web application offering comprehensive booking solutions worldwide.
• Implemented payment gateways using Asp.net, JavaScript, and jQuery for seamless user transactions.
• Developed SQL jobs and backend services to automate report generation for B2B agents, facilitating business tracking.
• Improved software efficiency by troubleshooting and resolving coding issues.

• Worked in this startup to provide web and mobile solutions to different clients in different domains.
• Created backend and database for different web apps from scratch using Asp.net web apis and Sql server, github.

• Worked with Swaps, Futures, Options and CTRM/ETRM tools like RightAngle, Allegro.
• Customized solutions for clients (OLAM, UNIPER) to fit business needs.
• Developed PNL and MTM reports from functional requirements.
• Optimized code for enhanced system performance.