Souvik Ghosh
Head Of Forward Deployed Engineering at Rasa
Brussels, Brussels-Capital, Belgium
Summary
🤩
Rockstar🎓
Top SchoolSouvik Ghosh is a seasoned machine learning and conversational AI leader with 11 years of experience building and scaling enterprise-grade solutions across fintech and SaaS. Based in Brussels, he now leads Forward Deployed Engineering at Rasa, pairing hands-on backend contributions to the popular open-source Rasa framework with strategic delivery for complex customer deployments. He has a strong track record industrializing ML workflows and conversational platforms at BNP Paribas Fortis, Zoovu, and Datavillage, and often bridges technical architecture and business outcomes as a trusted advisor. Comfortable in both code and customer rooms, Souvik’s work ranges from optionalizing REST interpreter configs in Rasa’s core to designing production analytics workbenches for banks—showing a pragmatic mix of product-facing engineering and platform thinking.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at West Bengal University of Technology, KolkataHigh school diploma, High school diploma at Delhi Public school RanchiMaster of Science (M.Sc.), Management Information Systems, General, Master of Science (M.Sc.), Management Information Systems, General at ESIEE PARIS
English, French, Hindi, Bengali, Spanish
Github Skills (9)
nlp10
backend10
rasa10
python10
natural-language-processing10
chatbot10
api-design9
api9
apim9
Programming languages (7)
Github contributions (5)
RasaHQ/rasa
Jun 2018 - Oct 2018
💬 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:33 reviews, 31 commits, 6 PRs in 4 months
Contributions summary:Souvik's contributions primarily involve modifying the `rasa_core/interpreter.py` file, specifically updating the HTTP interpreter by making the `token` and `model_name` optional. They also updated the default value for the server. The changes focus on the configuration and interaction of the RESTInput API, indicating work on the backend functionalities of the Rasa framework. The user also added tracker_store to endpoints.yml.
nlupythonbotspeech-recognitionbotkit
souvikg10/rasa_nlu
Apr 2020 - Sep 2023
Contributions:5 pushes, 2 branches in 3 years 5 months
nlpstructuredmachine-learningnatural-languagenatural
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