Ritam Sharma is a Bioengineering graduate from the Indian Institute of Technology Jodhpur with specialized experience in Deep Learning and Natural Language Processing. He has professional internship experience utilizing AWS tools (EC2, S3, SageMaker) and frameworks like PyTorch and TensorFlow. His technical skills include developing multi-output classification models, fine-tuning Word2vec for legal domains, and implementing advanced deep learning architectures such as Vision Transformers and custom NER models.
Experience
Deep Learning/NLP Intern
Pibit.ai
Learned to utilize AWS tools and services like EC2, S3, SageMaker and DynamoDB. Implemented a Multi-output classification model using BioClinicalBERT for Medical Bills. Trained a LayoutLM model for key extraction from unstructured document. Utilized Hugging Face, PyTorch, TensorFlow, scikit-learn, Docker and CVAT for these projects.
NLP Intern
Lawnics technologies
Worked on Fine-tuning Word2vec models for legal domain. Implemented Text generation models with LSTM architecture and received a perplexity of 1.7.
Education
Indian Institute of Technology Jodhpur
Bioengineering
Bioengineering
Relevant coursework included Data structures and Algorithms, Machine Learning, Deep Learning, Computational Biology, and Signal Processing.
Delhi Public School R.K.Puram
Higher Secondary
Delhi Public School Noida
Higher Secondary