Khushboo Vashishth

Software Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Highly Stable

Key Highlights

Designed scalable billing microservices handling 380M API calls.
Optimized database architecture improving efficiency by 70%.
Passionate about clean, maintainable code and software architecture.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech and SaaS industries.

Contact

khushboo_vashishth@mcafee.com +918414080414 LinkedIn

Skills

Core Skills

Node.jsPostgresqlApi Development.net

Other Skills

.NET FrameworkA/B testingASP.NET AJAXASP.NET CoreASP.NET MVCAWSAdvertisingAlgorithm DesignArtifactoryC#C++CommunicationCoverityEngineeringEnglish

About

I am a skilled Software Engineer with 4+ years of experience in designing, developing, and optimizing scalable backend systems. Proficient in .NET, Node.js, Vue.js, JavaScript, TypeScript, and SQL databases, with a strong focus on system performance, security, and reliability. Experienced in cloud computing (AWS), microservices architecture, and payment processing, ensuring seamless integrations and high-availability services. Adept at database optimization, API development, and distributed systems, with a proven ability to enhance system efficiency and reduce latency. Passionate about writing clean, maintainable code and continuously improving software architecture for scalability and resilience. I enjoy problem-solving and have a strong interest in algorithms and data structures, having solved 700+ questions on LeetCode and 1,000+ across various coding platforms.

Experience

Mcafee

2 roles

Software Development Engineer

Nov 2020 – Present · 5 yrs 4 mos

Billing Service:
Designed and developed PCI-compliant billing microservices using Node.js handling 380M monthly API calls, optimizing API response time by 48% and reducing API load on legacy service by 73%.
Optimized database architecture by designing PCI-compliant storage for billing data in PostgreSQL, improving database efficiency by 70% and reducing query response time from 1.3ms to 0.3ms.
Efficiently migrated 80M billing records from SQL Server to PostgreSQL with 100% data integrity by developing a billing migration service using .NET, ensuring zero data loss and improved database performance.
Third-Party Auto-Renewal Vendor Integration (POC):
Integrated with a third-party auto-renewal vendor and developed a controlled transaction routing system to split traffic 50/50, directing auto-renewal transactions for A/B testing to assess its impact on Auto-Renewal Payment Success Rate (PSR) in the US region.
Analyzed test results, comparing vendor's performance with the in-house renewal system, findings showed a lower-than-expected PSR, leading to the decision not to proceed with full integration.
EBANX Payment Integration & Regional Payment Expansion:
Integrated EBANX payment service provider to enable regional payment methods in Brazil and Mexico, adding support for PIX (Brazil) and Oxxo Pay (Mexico).
Optimized payment workflows for real-time and offline transactions, leading to a 23 bps improvement in payment success rate (PSR) for New & Non-Auto Renewal (NAR) transactions.
Customer Support Tool:
Developed a customer support application in Vue.js and Node.js to manage subscription and account operations, including purchasing, refunds, cancellations, renewals, and profile edits, enhancing customer and support agent experience.
Designed a role-based authorization system, restricting access based on user groups, and implemented

Node.jsPostgreSQLAPI developmentdatabase optimizationmicroservices architectureAWS

Undergraduate Technical Intern

Feb 2020 – Nov 2020 · 9 mos

Developed a console application to segment auto-renewal (AR) traffic using .NET, enabling business users to define campaign criteria, audience cohorts, and test parameters for A/B testing of smart billing strategies.
Enabled custom scheduling of AR transaction retries between D29 and D1 for users who failed the AR30 charge attempt. The system allows filter-based audience selection, ensuring precise recruitment into experiments and facilitating data-driven payment optimization.

.NETA/B testingdata-driven optimization

Indian institute of technology, patna

Computer Vision Intern

May 2019 – Jul 2019 · 2 mos · Patna, Bihar, India

Collected data (Depth Maps, RGB images, Timestamp values) from two Stereo IP Cameras and Microsoft Kinect Sensor V1414 calibrated with OpenCV and validated with MATLAB calibration.
Recorded a Maximum Frame Rate of 30fps(640*480px) for Kinect Sensor and 28fps(1920*1080px) for Stereo IP cameras.
Synchronised frames captured from RGB Kinect Sensor and IP Cameras by comparing corresponding timestamp values.

OpenCVMATLABdata collection

Bolt iot inventrom private limited

Student Partner Marketing Intern

Apr 2019 – Jun 2019 · 2 mos · Bengaluru, Karnataka, India

Popularised the concept of Internet of Things(IoT) and Machine Learning among college scholars.
Created Brand Awareness and Business Development of the Bolt Iot and ML online video training.