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followers: 23.0 following: 6.0 repos: 49.0 gists: 1.0

Name: Anandesh Sharma

Type: User

Company: @mozillacampusclubs @Credicxo @BitsPleaseMSI @backendly-io @Neuron-Square

Bio: A software engineer specializing in building exceptional digital experiences. Currently, Iā€™m focused on building accessible, human-centered products

Twitter: AnandeshSharma

Location: New Delhi

Blog: https://anandesh.dev

Header

Namaste, deviyon or sajjano! šŸ™šŸ™šŸ™

My name is Anandesh Sharma and I'm a Senior Software Engineer. I'm from India, and currently working at Compliance Innovation. You can find me on LinkedIn, stackoverflow, LeetCode.

  • šŸ”­ Iā€™m currently working in Python/Node/React
  • šŸŒ± Iā€™m currently learning Distributed Systems
  • šŸ˜„ Other Names : hash97
  • āš” Fun fact: It took less code to send to space than to run a smartphone.

Technologies & Tools

Anandesh's GitHub Stats

Anandesh Sharma's Projects

control-cloud-data-access icon control-cloud-data-access

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been proposed to secure the cloud storage.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dl-project-restormer icon dl-project-restormer

The objective is to improve and optimize current denoising deep learning algorithms by incorporating Transformers, taking advantage of their capabilities to enhance performance and achieve superior results in image denoising tasks.

emojifier icon emojifier

Recognizes faces in real time and predict emoji according to the emotion

facemoji icon facemoji

Detects face and its emotion, draws according emoji over face

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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