Chandan Pandey
Bangalore, India
Chandan Pandey
Web Developer
Category : Web development
Software engineer at Siemens with previous internship experience at HighRadius having total experience more than a year, strong foundation
in Web Development, Machine Learning, Data Structures and Algorithms; graduate of the National
Institute of Technology, Jamshedpur
in Web Development, Machine Learning, Data Structures and Algorithms; graduate of the National
Institute of Technology, Jamshedpur
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:08h00 To 18h00
- Sunday:08h00 To 18h00
![I am proficient in creating full stack websites or backend systems]()
Proficient in full-stack web development with hands-on industry experience as a Software Engineer at Siemens DISW and HighRadius. Built scalable backend services, REST APIs, automation workflows, ...
• Built backend automation services for InsightPro using Python and Golang, reducing manual effort by 80%.
• Integrated PBS workload manager with InsightPro for centralized job monitoring and workload visibility.
• Developed scalable backend workflows for infrastructure monitoring, log analysis, and system diagnostics.
• Implemented AI-driven troubleshooting solutions to automate root-cause analysis and issue resolution.
• Optimized backend performance using Redis, improving response latency and system reliability.
• Containerized and deployed backend services with Docker and AWS for scalable operations.
• Technologies Used: Python, Golang, Redis, Docker, AWS, Linux, Playwright, Generative AI
• Integrated PBS workload manager with InsightPro for centralized job monitoring and workload visibility.
• Developed scalable backend workflows for infrastructure monitoring, log analysis, and system diagnostics.
• Implemented AI-driven troubleshooting solutions to automate root-cause analysis and issue resolution.
• Optimized backend performance using Redis, improving response latency and system reliability.
• Containerized and deployed backend services with Docker and AWS for scalable operations.
• Technologies Used: Python, Golang, Redis, Docker, AWS, Linux, Playwright, Generative AI
• Developed backend services for the Deduction Management System, streamlining deduction workflows.
• Built ML-powered invoice extraction pipelines to automate financial document processing.
• Automated dispute creation from invoices and bills, reducing manual effort and improving efficiency.
• Designed intelligent workflows for deduction validation, dispute resolution, and exception handling.
• Developed document preprocessing pipelines, achieving 95% extraction accuracy.
• Built and optimized RESTful APIs for financial document processing and workflow automation.
• Technologies Used: Express.js, Python, JavaScript, Microservices, Docker, MySQL
• Built ML-powered invoice extraction pipelines to automate financial document processing.
• Automated dispute creation from invoices and bills, reducing manual effort and improving efficiency.
• Designed intelligent workflows for deduction validation, dispute resolution, and exception handling.
• Developed document preprocessing pipelines, achieving 95% extraction accuracy.
• Built and optimized RESTful APIs for financial document processing and workflow automation.
• Technologies Used: Express.js, Python, JavaScript, Microservices, Docker, MySQL
CGPA - 8.15 OUT OF 10
- Advanced Machine Learning 01/09/2026
![Advanced Machine Learning]()
Built expertise in Machine Learning and Deep Learning by exploring neural networks, CNNs, RNNs, and optimization techniques. - Supervised Machine Learning 03/06/2023
![Supervised Machine Learning]()
Covered Machine Learning fundamentals and studied all major Machine Learning algorithms.
- 🇬🇧 English
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