Yugank Kumar

Experienced software development professional with strong skills in software design, development, and integration. Possesses extensive knowledge of in-demand programming languages. Well-equipped to tackle complex projects and deliver high-quality solutions. Brings deep understanding of FinTech industry's unique requirements through background in writing code and developing systems specifically for FinTech applications.

Build Your Own Card, Python, Django, React, MySQL, Docker

• Designed and developed a scalable platform allowing customers to create personalized cards, selecting options like material, design, card type (e.g., cashback or rewards), and merchant offers.
• Built secure, modular components for customer-specific preferences, enabling dynamic card customization and reducing setup time by 50%.
• Integrated a robust backend to handle user-defined configurations, ensuring seamless processing and high scalability for millions of potential card configurations.

 Razer HR Portal, Python, Django, React, PostgreSQL

• Developed a comprehensive HR portal for clients to streamline hiring processes, including applicant tracking, employee management, and onboarding workflows.
• Built a versatile assessment module supporting both written and on-call assessments, enabling seamless evaluation of candidates directly within the platform.
• Implemented a training module with structured resources to facilitate new joiner orientation and skill-building, enhancing onboarding efficiency and reducing training time by 50%.

Transaction to EMI, Python, Django, React, MySQL, Docker

• Engineered the back-end for a real time transaction converter, which converted user's credit card transactions into EMI.
• Designed and launched a comprehensive client API integration, facilitating real-time credit conversion from latest transaction retrieval to EMI booking; enhanced system reliability by 35% and cut processing time by 50%.
• Configured New Relic monitoring and alert systems, resulting in 30% faster issue resolution and reducing downtime by 25%, thereby enhancing overall product performance and reliability across diverse operations.