Skip to content

Connect with top employers and elevate your career! Craft your digital identity, engage with μLearn Campus Chapters, and showcase your skills to potential recruiters. Don't miss this opportunity to launch your career with LAUNCHPAD Job Fair! 🚀

Notifications You must be signed in to change notification settings

Arathy02/Launchpad-2025

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2,821 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MUHAMMED ATHIF A L

About Me

I'm a Computer Science graduate (2024) with a specialization in Intelligent Systems. I'm genuinely passionate about technology. Over the past few years, I've built a solid technical foundation through hands-on projects, coursework, and self-learning.For the last 8 months, I’ve been working on an idea that tries to solve real-world logistics challenges using Route Optimization combined with Bin Packing. The aim was to build a product that could improve delivery efficiency by finding the best travel routes while optimizing space usage. Although the project is still in progress and not fully completed, it’s been a great learning journey that pushed me to explore complex algorithms and practical system design.Alongside my technical skills, I value clear communication, teamwork, and creative problem-solving. I enjoy experimenting with new technologies and take pride in learning things on my own when needed. Whether it’s building intelligent systems, designing full-stack applications, or exploring new ideas, I’m always excited to take on meaningful challenges and grow along the way..

Checkout my github profile : athifal
Checkout my linkedln profile : athifal
Checkout my porfolio profile : profileathifal

My Projects

Name Description Repo Link
Drug Repurposing This project uses Python with NumPy, TensorFlow, Pandas, and Keras to develop a novel graph neural network for drug repositioning. The model optimizes drug–disease association modeling and validation, showcasing Python's power in advanced machine learning for biomedical applications. Drug Repurposing
CircRNA-Disease association prediction based on Autoencoder And XGBoost Classifier This project is a computer-based method that combines XGBoost and autoencoders to analyze the relationships between Circular RNAs (circRNA) and chronic human diseases. By leveraging circRNA sequences, disease semantics, and disease interactions, XGB-AE generates valuable features for classification. Our model achieved high performance Circ-RNA-Disease association

Networking:

  • I maintain an active presence on LinkedIn, where I share industry insights, connect with professionals from various sectors, and foster collaborations to stay abreast of industry trends.

  • I participate proactively in tech festivals, competitions, and startup workshops, leveraging these platforms to showcase my skills, collaborate on projects, and network with students and industry experts for career growth and development..

Career Plan:

  • My goal is to pursue a career as a Software Developer, with a strong emphasis on professional advancement and broadening my skill set. I believe in a continuous learning mindset and self-improvement as key drivers in shaping my career trajectory

Thoughts on Kerala's Tech Ecosystem:

  • Reflecting on Kerala's burgeoning tech ecosystem, I see immense potential for growth and innovation. Through strategic investments in infrastructure, supportive policies, and educational initiatives, Kerala can pave the way for a thriving startup culture. By fostering collaboration between academia and industry, focusing on emerging technologies that align with our strengths, and ensuring access to funding and networking opportunities, we can create an environment where startups can flourish. This collaborative effort will not only drive economic growth but also contribute to societal advancement, positioning Kerala as a prominent player on the global tech stage.

Highly Used Software Tools:

  • Microsoft Office
  • Github
  • Visual Studio Code

About

Connect with top employers and elevate your career! Craft your digital identity, engage with μLearn Campus Chapters, and showcase your skills to potential recruiters. Don't miss this opportunity to launch your career with LAUNCHPAD Job Fair! 🚀

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published