Associate Software Engineer

• Jun 2023 - Present

Associate Software Engineer Intern

• Sep 2022 - May 2023

Kaggle Expert

• Dec 2021 - Oct 2022

☑ Rank 187 out of 54,051

Kaggle Contributor

• Nov 2021 - Dec 2021

Kaggle Novice

• Aug 2021 - Oct 2021

Samsung Research Internship

• Jun 2021 - Dec 2021

During the Research Internship, we worked on a worklet called "Data Augmentation to improve ASR for the Named Entities (NE's)". We are able to achieve a significant improvement of 95.38 F1 score for an NER model as compared to 93.56 previously. We are awarded with Cerification of Exellence and we have submitted our paper for the publication under IEEE journal. During the Research Internship, we worked on a worklet called "Data Augmentation to improve ASR for the Named Entities (NE's)". We are able to achieve a significant improvement of 95.38 F1 score for an NER model as compared to 93.56 previously. We are awarded with Cerification of Exellence and we have submitted our paper for the publication under IEEE journal.

Semi Finalist of Google Solution Challenge 2021

• Feb 2021 - Jul 2021

I was selected for Global Top 50 semifinalists in the Google Solution Challenge 2021 for my project called SafeRide. I have implemented Computer Vision algorithms like SSDMobilenet, YOLOv4, and Resnet for analysing the driver's data. I have also used LSTM model for forecasting the possible fluctuations of the car. This helped in predicting the accident to send emergency messages to all the primary contacts and near by hospitals. I was selected for Global Top 50 semifinalists in the Google Solution Challenge 2021 for my project called SafeRide. I have implemented Computer Vision algorithms like SSDMobilenet, YOLOv4, and Resnet for analysing the driver's data. I have also used LSTM model for forecasting the possible fluctuations of the car. This helped in predicting the accident to send emergency messages to all the primary contacts and near by hospitals.