Work Experience

Teaching Assistant – Signal Processing Lab at National Institute of Technology Calicut

Assisted in conducting laboratory sessions and mentoring undergraduate students in signal processing courses

  • Guided students in implementing signal processing algorithms using MATLAB
  • Supported lab evaluations and troubleshooting of signal processing experiments
  • Helped students understand practical applications of DSP concepts

Projects

Retinal Layer Segmentation using SD-OCT Images with Deep Learning

Developed a lightweight deep learning framework for accurate retinal layer segmentation from OCT scans, balancing segmentation accuracy with computational efficiency.

  • Designed and trained a deep learning model for multi-class retinal layer segmentation
  • Worked with medical OCT image datasets and handled class imbalance challenges
  • Evaluated performance using Dice score and other segmentation metrics

Image-Based Smart Parking Management System

Designed a computer vision system to detect vacant parking spaces using image processing and machine learning techniques.

  • Implemented image preprocessing and feature extraction for vehicle detection
  • Applied ML techniques to classify parking slot occupancy
  • Improved parking space utilization through automated visual monitoring