Adonay D. Gebremedhin

Adonay D. Gebremedhin

Software | ML | Computer Vision
Computer Engineering

Computer Engineering undergraduate and Researcher with interests in grounded multimodal learning, robust visual perception, and reinforcement learning. Research experience spans medical imaging, visual tracking, and segmentation, complemented by practical experience in developing, evaluating, and deploying practical intelligent systems.

Research Experience

E-MAPS event-based promptable video segmentation and memory architecture

E-MAPS: Event-Based Promptable Video Segmentation with Memory-as-Prompt [New]

A. D. Gebremedhin*, M. Alansari*, W. Shehieb, M. Naseer, H. AlMarzouqi, S. Javed, N. Werghi

WACV, 2027

Enhancing Human-AI Interaction through Multi-Agent Explainability

A. D. Gebremedhin, W. Shehieb

Zayed University Student Research Conference (Short Paper), 2025

Code

Education

2023–Present

Ajman University

United Arab Emirates

BSc. Computer Engineering

CGPA: 4.0

UAE Ministry of Higher Education and Research Fully-funded Scholarship

Work Experience

Jun. 2025–Present

Jun. 2026–Present

Research Assistant

Conduct funded research in hyperspectral histopathology, contributing to experimental design, model development, and evaluation for hyperspectral tissue imaging.

Feb. 2026–Aug. 2026

Software Developer Intern, Innovation Center

Led MVP development and provided technical support for university-incubated startups, transforming early-stage ideas into functional products.

Jun. 2025–May 2026

Vice President of the Computer Engineering Club

Led club initiatives by coordinating technical and community events, workshops, and competitions, managing four committee members, and increasing engineering student engagement in technical skill and portfolio building.

Jun. 2025–May 2026

Cabinet Member at IEEE Student Chapter

Managed the chapter’s digital presence through website development and CI/CD while growing social engagement through consistent content creation and platform optimization.

Jun. 2025–Aug. 2025

Eastern Al Maha, EMCO

Kuwait

Jun. 2025–Aug. 2025

Computer Vision Intern

Developed and deployed three computer vision models for automated retail shelf auditing, reducing inference latency by about half and improving one model’s accuracy by 27% through careful data curation and augmentation.

Jun. 2024–Oct. 2024

Smallcap.ai

Remote

Jun. 2024–Oct. 2024

Artificial Intelligence/Backend Intern

Led cross-functional integration across AI, backend, frontend, and database teams while developing web applications and machine learning solutions using Flask, React, and PyTorch.

Project Experience

PlanetWatch

Sep. 2025

Third Place · Khalifa University SMAC Competition

Computer VisionMachine LearningGeospatial AI

An automated, scalable disaster response system using vision and machine learning.

Radiance

May 2025

First Place · IEEE UAE Software Engineering Competition

Computer VisionNLPEdge AI

A computer vision application designed to aid visually impaired people through object recognition, scene recognition, and an integrated agentic system.

CrewTailor

Aug. 2024

Gemini API Developer Competition · Google

ReactFlaskLangChainLLMs

A web platform for building no-code, multi-agent LLM systems from scratch, created for the Gemini API Developer Competition.

Certifications

  • Sequence Models & Convolutional Neural Networks, Deeplearning.ai
  • CS50 Introduction to Artificial Intelligence, Harvard University
  • CS50 Web Programming with Python & JS, Harvard University
  • CS50 Introduction to Computer Science, Harvard University

Skills & Interests

Languages, Frameworks & Databases
PythonFlaskFastAPIReactPostgreSQLMongoDB
Machine Learning / AI
PyTorchHuggingFace