Kunal Raikar

Creation of Data annotation tool for training and improving the performance of Natural Language Processing model - The Data annotation annotates text data. In addition the tool also helps the user to rate the different types of annotations.The tool needs to manage multiple users and the users have different access levels in the tool. - The front-end of the App was developed in Vue.js and the back-end was developed in Django.

Web app to show Baby product for display on Company website - The web-app was developed using HTML and Javascript - The baby product was displayed such that it can be manipulated by mouse gestures and clicks for example A diaper can be compressed by mouse click, extended by sideways movement - This realistic manipulations give the feeling to the user of physically touching the diaper

Syncing the Electrical model outputs between Simulink and Pscad software using developed C++ software - The developed C++ framework reads the C code generated by Simulink and translates it to Fortran. This Fortran code is then ran on the PSCAD software - This helps the Simulink model to run in PSCAD software

Development of Spring MVC app for a Management Software 1. Testing of Spring MVC app using Jmeter 2. Addition of new features using Spring MVC development platform 3. Feature to generate pdf file for the data stored on the app 4. Feature to add work-time details and invoice of employees in the app

Part of Medical Solutions team. My role was of Biomedical Engineer and Software Engineer Projects 1. Android based Biomedical Sensor real-time monitoring system 2. Mathematical Model for Thrombus Characterization in Blood Vessels 3. Development of CPAP Control Algorithm Tools and programming languages - Android(Core Java), MATLAB (PDE toolbox, signal processing toolbox), Matlab (DSP and Curve Fitting toolbox)

My responsibilities were shared in three verticals -:Medical Solutions,creating intellectual properties and Software programming. Projects - 1. Scanless Microarray Reader (Lab on Chip) Prototype Development - My contribution was developing software in Matlab Environment for statistical analysis of fluorescence intensity in the image. 2. In Car Driver Wellness Monitoring System - My contribution was in conducting research and concept development and Java app development for Healthcare Sensor connection

During my Master Thesis, I have experimented with CNNS and ResNets for processing MCG signal using Pytorch. I also implemented a new Data mining algorithm named Bayesian rule mining algorithm as part of my studies. I have also taken Computer Vision Praktikum for my Masters course.My Projects - 1. Web-app for Indoor localization of people using Ultra-wide-band sensors 2. Implementation of Bayesian mining algorithm for minning associative rules of length 2