Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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experience
Research Assistant
Division of Occupational and Environmental Medicine, Department of Medicine, MSU
Duration: 12 October, 2023 - Present
Currently I am working on developing LLM based methods to evaluate SOAP notes, and identifying bias in clinical director comments.
AI Research Summer Associate Intern
AI Research Team, JP Morgan & Chase
Duration: 04 June 2023 - 26 August 2023
I worked on developing state of the art financial question answering system using Retrieval Augmented Generation paired with advanced prompting techniques.
NLP Engineer
Real World Data (RWD) Team, ConcertAI (SymphonyAI)
Duration: 06 Jan 2021 - 30 July 2022
I worked on developing NER and Relationship classification models on EHR data to better assess patients fit for clinical trials.
Data Scientist
Innovation Team, Innoplexus Consulting Pvt. Ltd.
Duration: 15 August 2017 - 05 January 2021
I worked on building NER, knowledge graph, sentiment analysis and topic extraction models on biomedical datasets.
Data Science Intern
Innovation Team, Innoplexus Consulting Pvt. Ltd.
Duration: 17 May 2017 - 20 July 2017
I worked on bulding web-scraping pipelines and developing ml methods to improve sharding in MongoDB database.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
Predicting Funding Flows in Public and Private Markets (Master’s Capstone Project)
Our project aims to provide a robust framework for forecasting funding flows in public and private markets by harnessing the power of data science, time series analysis, and NLP. (Repo Link)
Concept Map Browser Extension
A browser extension which will take the selected text on a website as input and create a concept map out of it. (Repo Link)
Bio Medical Bert Named Entity Recognition
A repo for training bert based models for biomedical named entity recognition models. (Repo Link)
BioMedicalAbbvExtractor
Identifying abbreviations and their corresponding long forms from biomedical abstracts. (Repo Link)
TorchServe Based Model Finetuning Service
Model Finetuning Service using TorchServe. (Repo Link)
Dunamic Convolutional Neural Network
Paper implementation. (Repo Link)
Very Deep Convolutional Networks for Text Classification
Paper implementation. (Repo Link)
Experiments with TensorFlow and Keras
Code pieces. (Repo Link)
publications
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models
Published in Arxiv Preprint, 2020
This paper focuses on extracting COVID-19 entities and relationships from a corpus of articles using a novel model. Through multi-task learning on annotated data, we train entity recognition and relationship discovery models. Employing concept masking, we prevent neural networks from functioning as associative memory, promoting contextual inference. Our findings reveal significant subnetworks, emphasize key terms, and illuminate past treatment modalities for related ailments.
Recommended citation: K Singh, P Singla, K Sarode, A Chandrakar and C Nichkawde (2020). " Uncovering the Corona Virus Map Using Deep Entities and Relationship Models" preprint ArXiv:2009.03068. 1(1). https://arxiv.org/abs/2009.03068
NLP Driven Political Analysis of Subreddits
Published in 3rd International Conference on Data Intelligence and Cognitive Informatics, 2022, Tirunelveli, India, 2022
This paper explores diverse applications, delving into model mechanics and decision-making processes. Analyzing extensive text data, we employ interpretable algorithms to extract insights. Specifically, our study focuses on extracting information from political subreddits using sentiment analysis and classification model features.
Recommended citation: Singh, K., Anne, S.V.N.S. (2023). "NLP Driven Political Analysis of Subreddits" Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore.. 1(2). https://link.springer.com/chapter/10.1007/978-981-19-6004-8_54
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant, CMSE 180
Undergraduate course, Michigan State University, Department of Computational Mathematics, 2023
Worked as a Teaching Assistant for CMSE 180, Introduction to Data Science.