Aug 2022 – Oct 2024 · 2 yrs 2 mos · Hyderabad, Telangana, India

• Optimized the platform by enabling direct input of carriers' payment terms and methods through a user-friendly interface. This enhancement allowed customers to seamlessly enter and manage payment information during the onboarding process, significantly reducing complexity and setup time. By streamlining these configurations, the update not only improved the overall performance and usability of the platform but also facilitated a smoother and more efficient customer onboarding experience.
• Developed a new API to fetch invoices which got approved within certain time frame to synchronize payment data with TPay and TBC third-party payment integrations. This included creation of partial index on a mongo collection to improve the retrieval performance.
• Identified and addressed a slow SQL query that took 51ms to update a table. By re-engineering the process to utilize RabbitMQ for asynchronous updates, the query's execution time was reduced to just 1ms. This optimization significantly enhanced the system's speed and efficiency, ensuring quicker and more reliable database operations.
• Optimized an existing MongoDB collection by creating indexes, which significantly improved the efficiency of all platform queries related to this collection. This enhancement reduced query response times and increased overall database performance, ensuring faster and more reliable data retrieval for the application.
• Developed a feature to monitor expenses and revenue at the subsidiary level. This involved fetching the subsidiary ID from the customer's account and linking it to shipment details. The subsidiary ID was then incorporated into the invoices and accruals payloads, ensuring that financial data accurately syncs with external accounting systems. This enhancement provides precise financial tracking and reporting for each subsidiary, facilitating better financial oversight and management.

May 2021 – Aug 2022 · 1 yr 3 mos · Hyderabad, Telangana, India

• As an SME, synchronized invoices and payments between Turvo and third-party accounting platforms such as Xero and QuickBooks.
• For order batch invoicing functionality, created list APIs accessible via the Settlements UI.
• Introduced a customized email template for order batch invoices and streamlined customer onboarding by converting the settlements UI into a comprehensive self-service platform.
• Did extensive RCA and solved multiple customer production issues related to invoices and accruals sync to external systems such as QBO & Xero, reports and analytics, etc.

May 2019 – May 2021 · 2 yrs · Greater Hyderabad Area

• Designed and implemented DBDeployWeb, a web service built with Java, Spring Boot, and PostgreSQL. This service enables the dynamic generation of SQL queries to facilitate the deployment of developer changes to both staging and production environments. By automating the query creation process, DBDeployWeb streamlines and accelerates the deployment workflow, ensuring smooth and efficient updates across different environments.

Jan 2019 – Apr 2019 · 3 mos · Greater Hyderabad Area

• Project: Contact Sync Factory
• This helps business partners to sync contact details to Salesforce CRM from visiting/business cards snap. Built google photos and google lens elements using cloud elements platform with the respective APIs and a formula which finally syncronizes the contact details from the snap to Salesforce contacts

Jun 2018 – Aug 2018 · 2 mos · Raigarh, Chattisgarh, India

• Developed search software to search details of any country. It shows details of all the states and cities present in the selected country.
• Developed a website for IoT enthusiasts to help them find detailed information and related videos about IoT.
• Used Java to faster the process of Qlick view model of SAP for showing employees details to all of the JSPL employees.

Oct 2017 – Oct 2017 · 0 mo · Bengaluru, Karnataka, India

• Project: Smart Fuel Indicator
• Smart fuel indicator helps users get vehicle tank as well as gas-stations related information. It suggests users on which gas-station to prefer depending on crowdedness, when fuel tank goes low.
• Qualified for the national level competition (Intel Higher Education Challenge, 2017) organised by Intel India for this project.