Skip to content
View Sadik90's full-sized avatar

Highlights

  • Pro

Block or report Sadik90

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
Sadik90/README.md

Profile Views trophy

Geeks ! I'm Sadik Bhattarai. πŸ‘‹ Apprehensive

About Me

  • πŸ‘¨πŸ»β€πŸ’» Exploring new technologies and developing software solutions and quick hacks.
  • πŸŽ“ Computer Science graduate from Pokhara University.
  • 🌱 Learning more about Cloud Architecture, Systems Design, Blockchain, and Artificial Intelligence[Bioinformatics.

Current Status

  • Research Assistant at Jeonbuk National University, specializing in Bioinformatics, with a focus on Cancer and Anticancer peptides research.
  • Knows Numpy, Pytorch, Tensorflow
  • Experienced at Neural Network Modelling specially Discriminative Neural Network, Generative Neural Network, Optimization, Method of Interpretability, and Result presentation.

Tech Stack

  • πŸ’» Python, R for Life Science, Matlab (Signal Processing and Filter Design)
  • 🌐 HTML5, CSS, JavaScript, Bootstrap, Node.js, React
  • πŸ›’ MySQL, MongoDB [Learning]
  • βš™οΈ Git, GitHub
  • πŸ”§ Visual Studio Code [Advancing the use of Pylint, flake8, Unit Test)

Check Once for ALL

Easy Ref

Personal Choice

πŸ“š Hobbies & Recommendations

Exploring the Depths of Thought and Creativity

-πŸ“· Photography & Video Making: Capturing moments and stories through the lens of a camera is my way of immortalizing the beauty of life. Whether it's the serene landscapes of nature or the vibrant energy of bustling city streets, each frame tells a unique tale waiting to be shared with the world.

-πŸ“– Reading Novels for Self-Improvement: In the realm of literature, I find solace and inspiration. Among my top recommendations is "Think Again" by Adam Grant, a thought-provoking journey into the art of rethinking and unlearning. Grant's insights challenge conventional wisdom and encourage a mindset of continuous growth and adaptation.

-🎬 The Beautiful Mind: Delving into the world of cinema, "A Beautiful Mind" stands as a timeless masterpiece that explores the complexities of the human mind. This captivating portrayal of mathematician John Nash's life sheds light on the triumphs and tribulations of brilliance, resilience, and the power of the human spirit.

-⚽ Passionate Football: On the field, amidst the cheers and camaraderie, football becomes more than just a gameβ€”it's a shared passion that transcends borders and unites hearts. The thrill of the game, the strategic maneuvers, and the jubilant celebrations create an atmosphere of pure exhilaration and joy.

-🌟 Recommendation for Everyone: Embrace the journey of self-discovery and intellectual growth by immersing yourself in the wonders of literature, cinema, and personal pursuits. "Think Again" and "A Beautiful Mind" serve as catalysts for reflection and introspection, inspiring us to challenge our assumptions, expand our horizons, and embrace the beauty of the human experience.

Through the lens of photography, the pages of novels, the reels of cinema, and the field of football, I embark on a quest to explore the depths of thought and creativity, inviting others to join me on this enriching journey of self-discovery and enlightenment.

Connect with Me

Podcast [Artifical Intelligence] and Youtube Channels

Do you want to start your carrer in AI ?

-Please follow this link Github. And if you find more, dont forgot to share.

-Interactive Python and DSA PYTHON and DSA.

-Comprehensive Study Source.

Making Technology from Scratch

Technology Development from Scratch

Thank you !! Be in a good health and happy learning !!

Pinned Loading

  1. ACPDA ACPDA Public

    Forked from chenxgscuec/ACPDA

    prediction of anticancer peptides

    Python