PrashantBarnwal

I'm

About

Focused and enthusiastic developer with a keen interest in Quantum Information, Cryptography and artificial intelligence. By comprehensive exposure to the underlying concepts and applying them vividly to various projects, my love for these domains came into being. I am a passionate individual who thrives to build and apply algorithms to solve real-world industry problems.

Birthday: 10 Feburary 1999
Phone: +918340492681

City: Rajasthan, India
Email: barnwal.1@iitj.ac.in

Interests

Quantum Information and Cryptography

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

Indian Institute of Technology Jodhpur.

July 2023 - Present

M.Tech.(Material Engineering)

Polarization studies of Nanostructure manufactured under laser addittive process.
Developed a Monte Carlo method for the study of the transmission of polarized light.
Calculation of Mueller Matrix for the stratified media.

Indian Institute of Technology Jodhpur.

August 2021 - May 2023

M.Sc.(Physics)

Developed a library which will generate the Mueller matrix for the Soliel babinet compensator.
Digital Image processing.
Design a Heliostat-based solar Concentrator using 3DOptix.
Learned Algorithmic Trading.

St.Xavier's College, Ranchi.

July 2017 - Dec 2020

B.Sc.(Physics)

Learned Object oriented programming.
Computational physics .
Learned Web develepment and various Frameworks.
Having hands on experience of paleontology.

Quantum Optics Lab. IIT-J.

May 2023 - June 2018

Optical Polarimetery

Optimized image processing algorithm to extract the Mueller matrix of the sample that will help to understand the interaction of light with the sample
Devised a pipeline of the project to incorporate it into the product for the research laboratory. Implemented the bright field microscopy.

Indian Institute of Technology-Jodhpur

June 2024 - Aug 2024

Intern

Remote sensing analysis using satellite imagery.
Geospatial Deep Learning.
Implemented noise reduction algorithm on the satellite image and prepared architecture for detecting objects in high‑resolution satellite images.
Increased accessibility of satellite image data by redesigning database and application for showcasing graphical data.