Vignesh Muthu - Associate Consultant

Vignesh Muthu

Associate Consultant

Chennai, Tamil Nadu, India

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Summary

👤

Senior

🎓

Top School

Vignesh Muthu is an Associate Consultant and seasoned software engineer with 8 years in IT, progressing through technical and leadership roles at CGI. He blends strong test engineering and Agile expertise with an MBA in Project Management, enabling him to translate complex requirements into practical delivery plans. Hands-on across the stack, he has improved integrations and user experience—evidenced by contributions to the popular open-source Rasa project where he fixed Slack integration issues and message sanitization. Comfortable leading teams and code-level bug fixes, he bridges QA discipline with backend development to reduce regressions and improve reliability. Based in Chennai, he brings a pragmatic, process-oriented approach grounded in years of delivery across enterprise engagements. Notably, his background combines formal project management training with day-to-day engineering craft, making him effective at both planning and execution.

8 years of coding experience

10 years of employment as a software developer

Master of Business Administration - MBA, Project Management, Master of Business Administration - MBA, Project Management at Alagappa University, Alagappa Nagar, Karaikudi

BCA, Computer Application, BCA, Computer Application at Prince Shri Venkateshwara Arts And Science College

English, Tamil, Danish

Github Skills (8)

python10

slack10

chatbot10

conversational-ai10

api-design9

api9

apim9

natural-language-processing8

Programming languages (3)

C#GoPython

Github contributions (5)

RasaHQ/rasa

Aug 2019 - Jan 2020

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Role in this project:

Back-end Developer

Contributions:37 commits, 5 PRs, 14 comments in 5 months

Contributions summary:Vignesh primarily contributed to the `rasa` repository by modifying the Slack integration. They fixed issues related to text duplication in Slack attachments and enhanced the sanitization of incoming messages to handle and convert garbled URLs into proper links. The user also added code to maintain the line break-up pattern and included a changelog entry to document the changes. These contributions focused on improving the functionality and user experience of the Slack integration.

nlupythonbotspeech-recognitionbotkit

vigneshp826/devops

Feb 2018 - Jun 2020

Contributions:52 pushes, 1 branch in 2 years 4 months

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