Krishna Chaitanya Arige

• Mentored junior developers on best coding practices and design patterns, fostering a culture of continuous improvement and learning.
• Optimized the core Pega product by resolving critical bugs and implementing key enhancements to improve performance and stability.
• Developed an Admin Dashboard for leadership, featuring interactive data visualizations and real-time insights using modern charting libraries.
• Engineered the internal 'Pega-OnCall' app with RESTful APIs, integrating backend services to support a dynamic, responsive frontend.

Designed and developed responsive web applications using JavaScript, HTML, CSS, and modern frameworks like React, Vue.js, and Node.js.

Collaborated closely with architects and stakeholders to identify pain points and deliver scalable, high-impact technical solutions aligned with business goals.

• Analyzed system performance metrics, identifying bottlenecks and implementing solutions that enhanced overall system reliability.
• Improved software efficiency by troubleshooting and resolving coding issues.
• Updated old code bases to modern development standards, improving functionality.

• Designed and implemented innovative application solutions, enhancing user experience and streamlining software functionality across platforms.
• Collaborated with cross-functional teams to gather requirements, ensuring alignment with project goals and improving application performance.
• Developed and maintained comprehensive documentation for applications, facilitating knowledge transfer and improving troubleshooting processes.
• Conducted thorough testing and quality assurance, identifying bugs and optimizing applications for enhanced reliability and user satisfaction.

• Developed and validated advanced computational fluid dynamics models, improving accuracy and efficiency in simulation processes.
• Collaborated with multidisciplinary teams to optimize design solutions, enhancing product performance and meeting project deadlines.
• Utilized ANSYS Fluent and MATLAB to perform complex simulations, streamlining analysis workflows and reducing turnaround time.