Sibish Basheer
Sr Staff Engineer, Amex Conversational AI
Phoenix, Arizona, United States
Summary
👤
Senior🎓
Top SchoolSibish Basheer is a Sr. Staff Engineer leading Conversational AI at American Express with 11 years of experience building production chatbots, dialogue systems, and enterprise AI services. He blends hands-on engineering and research sensibilities from a Georgia Tech MS in Interactive Intelligence to design scalable NLU and dialogue-management solutions for large financial systems. At Amex he progressed from developer to senior technical lead across offers, authorization, biometrics, and conversational platforms, demonstrating deep domain knowledge of payments and analytics. An active open-source contributor, he improved the widely used Rasa NLU tokenizer by adding case-sensitive handling plus tests and docs—showing attention to robustness and developer experience. Based in Phoenix, he brings a rare mix of enterprise delivery muscle and an interest in computational psychology that informs user-centric conversational design.
11 years of coding experience
13 years of employment as a software developer
Master of Science in Computer Science, Specialization in Interactive Intelligence, Master of Science in Computer Science, Specialization in Interactive Intelligence at Georgia Institute of TechnologyKendriya Vidyalaya SangathanB Tech, Computer Science and Engineering, B Tech, Computer Science and Engineering at Cochin University of Science and Technology
Hindi, English, Malayalam, Tamil
Github Skills (11)
tokenize10
nlu10
tokenizer10
nlp10
rasa10
python10
natural-language-processing10
unit-testing9
bot-framework8
chatbot8
machine-learning7
Programming languages (5)
Github contributions (5)
RasaHQ/rasa
Jul 2019 - Jul 2019
💬 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
Back-end DeveloperContributions:22 commits, 3 PRs, 30 comments in 8 days
Contributions summary:Sibish primarily contributed to the Rasa NLU framework, specifically the `WhitespaceTokenizer` component. Their work involved adding a `case_sensitive` option to the tokenizer, enhancing its functionality. They implemented tests for the new feature, ensuring its correctness and robustness. Additionally, the user made documentation updates and performed code formatting, improving code maintainability and user understanding.
nlupythonbotspeech-recognitionbotkit
sibbsnb/rasa
Jul 2019 - May 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
Contributions:18 pushes, 1 branch in 10 months
pythonnlubotspeech-recognitiondialogue-systems
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.