Skip to content
View ApratimR's full-sized avatar
☢️
Randomness is the mother of all
☢️
Randomness is the mother of all
Block or Report

Block or report ApratimR

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ApratimR/README.md

Hi there, I'm Apratim Ray 👋

I'm a Developer,Musician,Student!

  • 🌐 I'm a software developer from India. 🇮🇳
  • 🌐 I currently live in Maharashtra, India. 🇮🇳
  • 🌱 Data Encryption and Cryptography is what I specially love to talk about.
  • 🥅 2023 Goals: Just keep on learning New Tech (Currently Understanding Fastapi).
  • ⚡ Fun fact: I love make Dreampunk/Ambient style music.

Languages and Tools:

var Apratim_Ray = {
	code: [Python, TS, JS, HTML, CSS],
	tools: [VScode, FastApi, Angular, Node, Conda, Jupyter],
	intrest:["Data security and Cryptography",
		 "News regarding latest Computing Hardware and Software"
		 "Making music"],
}

Follow me:

Apratim Ray | YouTube

Pinned

  1. learning_with_errors learning_with_errors Public

    A asymmetric data encryption and decryption Library made in python based on the Learning with Errors Method

    Jupyter Notebook 1

  2. crypto_blocks crypto_blocks Public

    A library with collection of common function used for creating encryption algorithms in base64 formatting.

    Python 1

  3. FNN-Hash FNN-Hash Public

    A flexible EXPERIMENTAL Hashing algorithm that uses Neural Network architecture to calculate the Hash of a given string.

    Python 2

  4. NCT-Encryption-Algorithm NCT-Encryption-Algorithm Public

    An EXPERIMENTAL symmetric encryption algorithm which instead of generating cipher/encrypted text generates the instruction to recreate the main Data.

    Python 1