Varun Subramanian
Senior Software Engineer at Rasa
Bonn, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolVarun Subramanian is a Senior Software Engineer with a decade of experience building conversational AI, backend systems, and research-driven prototypes across industry and academia. Based in Bonn, he has driven core contributions to Rasa’s open-source conversational framework—fixing NLG bugs, improving transformer checks, and tightening SpaCy compatibility—to make chatbots more reliable in production. His background spans end-to-end chatbot web apps, DPR fine-tuning for FAQ suggestion, and reinforcement-learning experiments for network resource allocation, reflecting a blend of applied ML and systems engineering. Early work at Cerner and HealthifyMe shows a track record of shipping impactful backend tooling and AI assistants, while two Google Summer of Code projects highlight his open-source and tooling chops. Comfortable across languages and platforms, he favors practical solutions built from curiosity rather than curriculum requirements. Varun is currently focused on roles in full-stack, backend, NLP, and chatbot development where his adaptability and cross-disciplinary experience accelerate product-ready AI.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science Engineering, Bachelor of Technology (B.Tech.) Computer Science Engineering at Amrita School of EngineeringMaster of Science - MS Computer Science specializing in Intelligent Systems, Master of Science - MS Computer Science specializing in Intelligent Systems at The University of BonnHigh School Computer Science, High School Computer Science at SBOA School and Junior College
Tamil, English
Github Skills (10)
nlu10
rasa10
pytest10
python10
natural-language-processing10
testing9
machine-learning9
spacy9
bot-framework8
chatbot8
Programming languages (3)
Github contributions (5)
RasaHQ/rasa
Jan 2023 - Jan 2023
💬 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 & QA Engineer
Back-end Developer & QA EngineerContributions:44 reviews, 13 commits, 112 PRs in 14 days
Contributions summary:Varun primarily focused on improving the Rasa framework's core functionality, specifically addressing categorical slot comparison in the Natural Language Generation (NLG) module. They fixed a bug, renamed a changelog file, and implemented improvements in testing. They also addressed transformer size checks and Spacy version compatibility issues before training, further enhancing the reliability of the machine-learning framework.
nlupythonbotspeech-recognitionbotkit
varunshankar/galaxy-godocker
Apr 2016 - Aug 2016
Contributions:137 commits, 36 pushes, 2 branches in 4 months
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