About Us

Who Am I?

Hi I'm Veera Raghavendra Chikka Expert in natural language processing and machine/deep learning. I define, develop and deploy deep learning and machine learning models on NLP/Text and Structural data. I love exploring different problems/usecases and solve using AI. I work in agile mode with any cross-functional team with ease.

I have received my PhD in Computer Science from International Institute of Information Technology (IIIT) Hyderabad. Have published more than 10 research papers in reputed journals and conferences.

Skill set: Python, Machine Learning, Deep Learning, Natural Language Processing. Tools: Python, Pandas, Numpy, Scikit-learn, Keras, PyTorch, TensorFlow

I have a total of 9.5+ years of experience in NLP, Machine Learning, Deep Learning, and Healthcare Analytics. 5 years of PhD research experience and 4.5 years of professional experience in developing machine/deep learning applications (Prediction, Classification, Clustering, Time Series, etc) and deploying ML models.

Researcher

Solution Architect

Development

Deployment

Experience

Work Experience

Senior Data Scientist at Optum Global Solutions (UHG), India
December 2018 – present

  • Led, developed and deployed SmartRFP, a machine learning tool that analyses RFP contract documents. Coordinated a cross-functional team of 12 members, including Data Scientists, Architect, Business Analysts, UI/UX developer, Deployment Engineering, and Scrum Master.
  • Led a team to develop and deploy an NLP toolkit to identify medical entities and relations in clinical docs.
  • Built AI Doctor, a transformer-based deep learning model, to predict disease through early detection of indicators from insurance claims.

Research Assistant for Hitachi R&D Bangalore at IIIT Hyderabad, India
January 2014 – December 2018

  • Worked on "Statistical Natural Language Processing: Information Extraction from Clinical Text".
  • Built machine learning models to extract medical and disease entities from discharge summaries.
  • Developed a hybrid deep learning approach for medical relation extraction.
  • Implemented a module in Apache cTAKES to extract severity and course relations of disease mention.
  • Experimented with various algorithms such as CRF, SVM, CNN, Bi-LSTM, Transformers and BERT.

Software Engineer at SETU Software Systems (P) Ltd., India
June 2012 – January 2014

  • Developed an automated question generator NLP tool to generate the questions automatically from text.
  • Built a crawling system to extract photos, videos and news articles present in social media posts.
  • Developed concept extractor to retrieve the concepts from social media posts and new articles.

Publications

Publications

Conformance checking methodology across Discharge Summaries and Standard Treatment guidelines. ACM Transactions on Computing for Healthcare, 2020

Veera Raghavendra Chikka, Kamalakar Karlapalem

A hybrid deep learning approach for medical relation extraction. KDD 2018 Workshop on Machine Learning for Medicine and Healthcare 2018

Veera Raghavendra Chikka, Kamalakar Karlapalem

Information Extraction from Clinical Documents: Towards Disease/Disorder Template Filling. at 6th International Conference of the CLEF Association, 2015: 389-401

Veera Raghavendra Chikka, Nestor Mariyasagayam, Yoshiki Niwa, Kamalakar Karlapalem.

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My Specialty

My Skills

Natural Language Processing

85%

Machine Learning

90%

Deep Learning

80%

Python

85%
Education

Education

IIIT Hyderabad, India

January 2014 – Feb 2021

BVRIT, India

June 2008 – May 2012

Get in Touch

Contact

ch.raghavendra66@gmail.com

99, LIC Colony, Manikonda, Hyderabad, India 502313

+91 9030797843