Alexander Khizov
Engineering Manager at SumUp
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlexander Khizov is an engineering manager with 13 years of experience leading backend and ML-focused teams across startups and scale-ups, currently building payments infrastructure at SumUp in Berlin. He progressed from C++ developer and team lead roles to senior engineering positions at HERE and Rasa, where he later managed engineering teams and contributed code to the popular open-source Rasa conversational AI project (notably adding a Hangouts channel). He blends hands-on backend and machine learning expertise with people leadership, shipping production integrations that connect ML systems to real-world communication channels. Educated in computer science (BS/MS) in Kazan, he brings a pragmatic, cross-disciplinary approach that balances delivery velocity with maintainable architecture.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Казанский Государственный Технический Университет им. А.Н. ТуполеваMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Казанский Государственный Университет
Russian, English, German
Stackoverflow
39reputation
1kreached
5answers
1question
Github Skills (17)
asynchronous10
python10
async10
asyncio10
api-design9
restful-api9
api-rest9
rest-api9
nlp8
natural-language-processing8
macos6
error-handling6
rasa-nlu6
rasa6
command-prompt6
Programming languages (6)
Github contributions (5)
RasaHQ/rasa
Dec 2019 - Dec 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
Back-end DeveloperContributions:157 reviews, 113 commits, 81 PRs in 1 year
Contributions summary:Alexander contributed to the `rasa/rasa` repository by implementing a new Hangouts channel for the Rasa Core. This involved writing Python code to handle incoming messages, process them, and send responses in the correct format for Google Hangouts, including handling text, images, and button-based interactions. The contribution demonstrated a focus on extending the functionality of the Rasa platform to support additional communication channels.
machine-learningnluslackvoice-assistantnlp
degiz/sldparser
Oct 2013 - Sep 2014
Contributions:21 commits in 11 months
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