Matthew Vielkind
Senior Solutions Engineer at Instabase
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMatthew Vielkind is a Senior Solutions Engineer with nine years of experience translating data science and conversational AI research into production-grade software for enterprise customers. He combines hands-on Python and Flask development, React front-end coordination, and Kubernetes deployment to deliver scalable intelligent document processing and virtual assistant solutions. At Rasa he contributed a first-of-its-kind Twilio Voice connector to their popular open-source chatbot framework, demonstrating a knack for bridging research prototypes and real-world voice experiences. He has a strong background building PySpark data pipelines and predictive models in AWS for healthcare analytics, and he designed a custom data pipeline to expose annotator behavior for model improvement. Curious by nature, he favors exploratory research that uncovers unexpected value in large datasets and turns those findings into product features. Based in New York, he pairs technical leadership with practical engineering—often owning integrations end-to-end from requirement gathering through performance tuning.
9 years of coding experience
5 years of employment as a software developer
BS, Economics, BS, Economics at Union College
Stackoverflow
2,930reputation
368kreached
81answers
0questions
pandas
top-5%
pyspark
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python
top-5%
Github Skills (22)
sanic10
python10
rasa10
chatbot10
twilio10
api-design9
pandas9
apim9
pyspark9
conversational-ai9
api9
nlp9
nlu8
csv6
dictionary6
Programming languages (3)
Github contributions (5)
RasaHQ/rasa
Mar 2021 - Jul 2022
đź’¬ 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 reviews, 59 commits, 8 PRs in 1 year 4 months
Contributions summary:Matthew primarily contributed to the development of a Twilio Voice channel for the Rasa chatbot framework. Their work involved creating the `TwilioVoiceInput` and `TwilioVoiceCollectingOutputChannel` classes. The user implemented features to handle incoming voice calls, process user input, and generate Twilio Markup Language (TwiML) responses. They also added support for different assistant voices and configuration options.
nlupythonbotspeech-recognitionbotkit
RasaHQ/insurance-demo
Dec 2020 - Jul 2021
Building a bot to handle general tasks for insurance.
Contributions:1 review, 49 commits, 1 PR in 7 months
telegram-botpythoninsurancebothandle
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