Dual Degree (B tech + M tech)  in Computer Science and Engineering

1. Worked on a chatbot that would make the report generation process in the EBC2 platform
flexible.
2. Used IRNet model from SPIDER 1.0 NLQ2SQL challenge for natural language query to SQL
conversion and solved the terminal issue in the model with the help of the POS tagger model and
BERT contextual word embedding.
3. Developed a chatbot (web app) with the IRNet model in backend using Flask and Chatterbot
framework.

Software Engineering Intern

1. Developed a recommender system for apparels using text and image features.
2. Processed text using tokenization and stop-word removal and converted text features into
vectors using Bag of words, TF- IDF, Word2Vec. 
3. Used VGG-16 Neural Net for image-based
recommendation and then combined text and image-based recommendation for the final result.

Machine Learning Intern

Working on Line's private cloud platform (Verda) in KaaS(Kubernetes as a Service) team.

Infrastructure Software Engineer

I am an infrastructure engineer with Kubernetes as my focus.

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