• Developed an API for remote segmentation using REST API / Flask and Segment Anything (SAM) model• Developed a detection algorithm for sawblade teeth using OpenCV in Python

• Developed a distributed and multi-threaded edge computing server-client network using socket programming and TCP/IP on Python• Developed a radar network with synchronization, data sharing and FoV calibration features• Designed a Machine Learning model for human activity recognition and person tracking/identification on radars by using Tensorflow• Implemented CNN, RNN (LSTM / GRU) and Autoencoder models for radar-based YOLOv3 for person tracking by using PyTorch

• Developed a decision tree-based peak detection model for WiFi signals along with a preprocessing pipeline using scikit-learn, pandas and numpy• Developed decision tree based peak detection model for a wifi signals using scikit-learn• Developed a preprocessing pipeline for received signals to be used by peak detector using pandas and numpy

• Designed a ML model for Human Activity Recogntion along with an algorithm for noise removal using TensorFlow and sklearn

• Contributed to the front‑end design of the university webpage with .NET, AngularJS, HTML5 and CSS3• Contributed to the back‑end features of the universities internal backbone with C#, .NET, MySQL, NodeJS, TypeScript and AngularJS• Developed modules for student portal app on Android Studio• Implemented university personal statistics system and university building maintenance and management web application