Kanchan Singh

Senior Systems Engineer

Infosys Limited

05.2022 - Current

Refactored legacy SAS-based financial files into scalable, production-ready Python code using Pandas and NumPy for high-performance numerical and data analysis, improving model run-time efficiency and maintainability across complex financial waterfalls. Eliminated usage of out of support SAS code.
Built automated data pipelines leveraging pyodbc and SQLAlchemy for real-time database interaction, reducing data latency and manual effort by over 40%.
Developed structured logging and error-handling framework using Python’s logging module and SQL-based storage, enabling proactive issue tracking and reducing average debugging time by 30%.
Created RESTful APIs using Flask to integrate Python business logic with a legacy .NET desktop application (Merlin), enabling seamless user workflows and reducing manual handoffs.
Designed a high-throughput console application using asyncio for parallel execution, packaged with py2exe for distribution, which accelerated bulk data processing tasks by 50% in production environments.
Led the upgrade of a production Angular application from version 16 to 18, ensuring full compatibility with existing APIs and third-party libraries while maintaining application stability.
Enhanced user experience and performance by fixing 5+ critical UI and logic bugs, optimizing responsiveness across multiple devices and resolutions, and reducing client-reported UI issues.
Collaborated cross-functionally with backend developers and QA teams to deliver a seamless and accessible frontend aligned with business requirements.
Improved backend reliability and performance by managing and optimizing SQL Server databases, writing 50+ SQL queries and customized stored procedures, and integrating them with a .NET Core–based web application used enterprise-wide.
Created internal tools for database operations by developing a secure ASP.NET Web Forms page that enabled business users to execute stored procedures and perform updates without developer support, reducing turnaround time for routine operations.
Ensured operational continuity and user satisfaction by resolving support tickets within a strict 6-hour SLA, providing technical troubleshooting, and delivering detailed documentation to improve system usability and onboarding.