• Implemented and trained a Dense Passage Retriever for performing semantic-based text retrieval.• Built a transformer-based scalable question answering system based on the retriever 􀀀reader/generator pipelines.• Designed and built a pipeline that can automatically generate a question answering dataset forfine-tuning QA systems for domain-specific problems• Proposed a novel "Q2Q Search" for Question Answering for domain-specific Industrial data

Part of DNA05 unit which specializes in Machine LearningDeveloped an AutoML pipeline that can perform automatic preprocessing, feature extraction andtrain multiple machine learning models and display the comparisons between different models.Part of the team that won Hackathon conducted by Infosys AI and Automation unit.

Part of DNA05 unit which specializes in Machine Learning.Worked on multiple vision-based internal projects that employ convolutional neural networks

Trained a text-based deep learning model to assign correct keywords for food recipes in the database in order to optimize the search engine results.Part of the team that created a chatbot using Dialogflow and deployed it on multiple platforms