o Worked on the backend development (Rest API) for file management service using fastAPI for uploading drug labels in pdf and sent to the processing pipeline. o Data Preparation for training various deep learning based text classification models for Base Component Mapping of various country Drug Labels such as SMPC, USPI etc. o Worked on the training of weakly supervised text classification models for Base Component Mapping in various Drug Labels..
o Worked on the data preparation from tagged documents for NER and classification models. o Trained NER and classification models for extraction of key fields like Phase, VerbatimIndication, BidDueDate, PresentationDate, Protocol Number, Drug Name etc. using AWS Sagemaker. o Evaluation and deployment of the ML models trained in sagemaker as Sagemaker endpoints and preparation of inference code. o Development of retraining pipeline for pulling the feedback records from dynamoDB and retrain the models by augmenting feedback records using AWS StepFunctions service
o Deconstruction of the word documents using OpenXML SDK and generate IQVXML with all the content and formatting details preserved. o Call the Segmentation microservice to generate a segmented file for the input document. o Call the translation microservice with the segmented file to generate target file o Reconstruction of the document with translated segments back to the original formatting with the target language
o Worked on the Integration of Interactive Brokers (IB) API into our Trading Platform. o Developed REST APIs for accessing and saving of trading data o Downloading and processing of the trading data from Accern data dumps. o Generating portfolios based on the average scores calculated for the data dump received from Accern. o Purging the archive data every week, creating and configuring the scheduler code to run the job
o Involved in the backend development for the patient and doctor registration and login activities. o Developed the Rest API endpoints for the search functionality. o Involved in the development of appointment scheduling and video scheduling with the required REST APIs for mobile apps. o Integrated Web Real Time Communication (RTC) for establishing the streaming of communication between web applications / browsers. o Integrated payment gateway to collect consultation charges for the doctor-patient interaction based on the type of consultation availed.
Vellore Institute of Technology University , Vellore, Tamil Nadu – Ph.D Ph.D in the department of Computer Science & Engineering with “Healthcare Data Analytics and Disease Prediction using NLP techniques in EHRs” as Specialization
Jawaharlal Nehru Institute of Technology, Hyderabad, Master of Technology M.Tech in Computer Science and Computer Science & Engineering with 81.11 %.
Jawaharlal Nehru Institute of Technology, Hyderabad, Bachelor of Technology B.Tech in Computer Science and Engineering with 76.40%.
C#
MYSQL
MS SQL
PHP
C#.NET
Python
QWIRK is a brand owned by Gigart Solutions Incorporation, Delaware, USA. The company is a freelance marketplace to help firms find quality professionals when needed, to be a part of your workforce.
11 Seasons Glen Dr, Morris Plains New Jersey 07950 United States of America
Copyright 2023 QWIRK, All Rights Reserved.
