working on OR, ICU, Sterilization and disinfection medical devices, Incubators and power supply electronics.

Hospital Design Review, Medical Equipment Planning, Maintenance Management & procurement.

•Landing Pages Design and Websites Development •Version Control

Volunteered at Energia Powered to promote an online programming competition and classes.

promoting HSI educational services for Students and coordinating of university events.

Implementing a patient-specific, learning-based 3D reconstruction method for sinus surface anatomy using only endoscopic videos, based on a research paper.

A Desktop application that provide various computer vision tools : Edge Detection, Corner Detection, Hough Line and ellipse detection, dimensionallity reduction and Face Recognition based on eigen faces

A Desktop application serves as a real-time vital sign monitoring across multiple channels with playback controls & statistical reports.

Developed a system simulating communication between medical devices and a server to store real-time vital sign data, featuring a Redis-based storage, and a GUI for visualization of vital signs and search by patient ID.

A web application built to implement the Canny Edge Detection algorithm from scratch.allows users to upload an image, and then perform edge detection on it

Developed a Python script to generate fabric patterns with smooth gradients, simulate cloth strands, analyze RGB channels, and compute statistical metrics

Developed a tool to analyze, combine, and visualize image components, enabling the creation of new images by mixing magnitude and phase components from different sources.

Developed a responsive landing page for a custom meal delivery startup using HTML and CSS, optimized for all screen sizes.

Developed a socket-based program enabling message exchange between one server VM and two client VMs, simulating a chat application with Python scripts for server and client functionality.

Developed a 3D robotic arm model with hierarchical components (shoulder, elbow, fingers) in OpenGL, incorporating fixed-point rotation, inverse matrix transformations, and interactive controls via mouse and keyboard for realistic animation.

Developed a Python script for segmenting red and green regions in images using OpenCV, leveraging HSV color space, contour detection, and bounding box visualization to highlight specified areas.

Performed multiple sequence alignment, nucleotide composition analysis, and phylogenetic tree construction to compare the Delta and Omicron variants using data from GISAID, Clustal Omega, Biopython, and MEGA11x, identifying key genetic differences and evolutionary relationships.