Sucheta Shreeram Bhat

Contributing to the development of an AI employee platform. Working with AWS services like Lex, Bedrock, and Lambda to build scalable, efficient solutions. Exploring AWS tools like Glue and S3 to enhance platform integration and functionality. Researching and documenting tools and technologies for potential project benefits. Attending Agile training to improve collaboration, productivity, and delivery.

Working in a medical research department of NEC Corporation. Working in a domain Natural Language Processing. Training language modules on custom data. Training BERT and ROBERTa language modules for English language data. Training BERT and RoBERTa language modules for Japanese language custom data. Training modules on multiple GPU’s.

Worked on Image Processing, Computer Vision, Machine learning and Data Science modules of the project. Custom Object detection using YOLO framework including all the processes like, Data collection, Annotation, Augmentation,training and implementation.(All YOLO versions till YOLO V7) Research and development on Hand tracking using mediapipe. Research and development on text to image generation models and image cartoonization using OpenCV(GAN(Generative Adversarial Network ) module).

Speech to text conversion(Japanese to English and English to Japanese) using Microsoft Azure and Unity environment. Object detection for the 180 and 360 degree rotated videos and images using YOLO V3 framework. Emotion detection using Tensorflow.