Have work experience in testing, debugging and software development. I'm familiar with Angular and React framework.

Most I've used C++ in my personal projects to create useful Deep Learning libraries and in competitive programming.

Worked with Python in side projects in the area of Deep Learning. I also have experience in web scraping in Python and server side scripting.

Having a good knowledge of Deep Learning concepts. I can help to build a neural network with different optimization techniques as well.

Have a good knowledge of Angular 4 framework how to integrate APIs as services and divide separate components so that code can be reused instead of writing it again.

Having experience with Bootstrap technology and have a clear understanding of how to create responsive websites.

Familiar with basics of Tensorflow framework.

Familiar with few basics of Keras framework which can work as front-end wrapper with the Tensorflow framework.

Familiar with most of the advanced commands of Git.

Have good experience in the React framework. Familiar with debugging, performance improvement and testing of an application.

Making local deployment and staging deployments easy.

Making deployment of applications and services easy using Kubernetes.

Good experience with Elasticsearch and its core fundamental concepts.

Full Stack Engineer

Harshit

Fixed Point Image Transmission was a course project which was simulated on MATLAB and has to be implemented on Zedboard (SoC).  Image reconstruction using 64-QAM digital modulation technique over a wired channel.

Fixed Point Image Transmission

Tone Identification was a course project which was based on security application. Target audio clips were tested against original audio clip to judge whether tone matches or not.

Tone Identification

Toolkit for Multivariate Analysis (TMVA) is a machine learning toolkit for the ROOT scientific software framework used in many particle physics data analysis and applications. The aim of the project was to expand the deep-learning library of TMVA by implementing efficient Recurrent Neural Networks and LSTM Networks supporting CPU and GPU architectures. Fully working RNN network and LSTM network was implemented using CMake and C++14.

Recurrent Neural Networks on GPUs for Particle Physics Application

This is a front-end for Susper running on YaCy server. The retrieval of search results is done using YaCy search API. Search results are displayed using Solr server which is embedded into YaCy. The front-end was developed using Angular framework version of 4.1.2 and features like Text-to-Speech, Frequency Distribution Graph of the results fetched from YaCy server and much more features were implemented.

Susper Search Engine with YaCy Grid v2.0

The optical smoke detector is a project which implemented on the Arduino board and works on the light scatter principle.

Personal details

Harshit

Summary

Technical skills

Personal Projects