Currently working in Nividous as a software engineer in the core product team. Working on training and enhancing the performance of different-different machine learning models which are used in the field of intelligent document processing(IDP). Using detectron2, transformer, and image classification techniques.I started playing with machine learning algorithms in my 2nd year of my college by taking participating in hackathons and workshops at places such as Bits Pilani and JECRC Jaipur. And that's why I had done an internship in the same field. I was always enthusiastic about Deep learning and its application. So I worked on multiple interesting projects during college time such as:i) Heart disease prediction model - In this, we trained a model which predicts that a person is affected by any heart disease. The dataset was used from Kaggle. And the parameters were age, sex, blood pressure sugar level, etc. I reduce the burden, availability, and time of the doctor.ii) Smart voice lock system- In this worked on audio classification. In this, we created an audio dataset of two-person(100 audio files of each). Handle audio with librosa, perform data augmentation by pydiogment, feature extraction by mfcc, and than apply DNN classification. And if matches then if matches with the user then converts speech to text and perform suitable action.And to keep me in regular touch with ML always participate in Jobathon's of Analytic Vidhya and remain active on Kaggle.