Muhammed Shawkath V I

About

Computer Science and Engineering student with experience in AI/ML research and data analytics. Built machine learning and full-stack projects spanning bioinformatics, air quality forecasting, and image dehazing.

Experience

• Research Intern — Bioinformatics & AI
  IIIT Kottayam
  May 2026 – Present
• AI & Data Analytics Virtual Intern
  Shell India, Edunet Foundation & AICTE
  Oct 2025 – Nov 2025

Education

• B.Tech in Computer Science and Engineering
  College of Engineering Kidangoor
  Computer Science and Engineering · Sep 2023 – Jun 2027
• Higher Secondary (Class XII)
  NSS HSS Karukachal
  Computer Science · Jul 2021 – Mar 2023

Skills

• SQL
• C
• Deep Learning
• Python
• JavaScript
• Tailwind CSS
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• OpenCV
• React
• Flask
• PyTorch
• TypeScript
• Seaborn
• API Integration Understanding
• Jupyter Notebook
• graph neural networks
• Contrastive Learning

Projects

• Fog-Sight: Image Dehazing Algorithms
  Python, OpenCV, NumPy, Pandas

  Implemented and benchmarked dehazing algorithms (DCP, CAP, CLAHE, Retinex), identifying CAP as optimal for fog reduction. Authored a comparative analysis research paper, currently under revision for resubmission.

• CleanSky Monitor
  Next.js, React, Flask, XGBoost, scikit-learn

  Built a full-stack air quality platform with a REST API serving real-time tracking and 48-hour forecasts for major Indian cities. Trained an XGBoost Regressor (R2 = 0.93) serving real-time predictions via a Flask REST API with an interactive frontend.