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© 2026 Biniyam Gashaw

Computer Vision Researcher · Deep Learning

Biniyam Gashaw

Biniyam Gashaw

Computer Vision Research · Deep Learning · Edge AI

Available for work

About

Hi, I'm Bini — originally from Ethiopia, now based in Beijing, China.

I earned my Master's in Software Engineering and BSc in Computer Science from UESTC, with theses in fine-grained visual recognition and deep learning-based lung disease detection.

Currently working as an R&D Engineer. My research interests lie at the intersection of computer vision, deep learning, 3D perception, and edge AI — with a growing focus on multi-modal perception and autonomous systems.

Research Interests

3D Vision & Multi-view Geometry
Vision Transformers
Generative Models for Vision
Edge AI & Model Compression
Multi-modal Learning (Vision + Audio)
Autonomous Systems & Robotics

Core Technologies

Computer Vision
Deep Learning
Python
PyTorch
TensorFlow
OpenCV
YOLO (v5-v8)
Transformers
Keras
scikit-learn

Experience

Work

Research and Development Engineer

CIeNET Technologies
PythonFastAPIPostgreSQLRedisReact
2024–Now

Full Stack Developer Intern

CIeNET Technologies
  • Developed web applications with modern stack: React, TypeScript, and FastAPI
  • Learned computer vision fundamentals and integrated ML models into applications
  • Built RESTful APIs and microservices with PostgreSQL database integration
ReactTypeScriptPythonFastAPIPostgreSQL
2023–2024

Technical Support Engineer

Wicresoft
  • Resolved complex technical issues for Office 365, Exchange, SharePoint, and Power Automate
  • Achieved consistent green KPIs and won four 'Best Performance' awards in 13 months
  • Mentored new engineers and collaborated with Microsoft teams on escalated cases
Microsoft Office 365ExchangeSharePointPower Automate
2021–2022

Education

Master's degree, Software Engineering

University of Electronic Science and Technology of China

GPA: 4.0/4.0 - 93.53 AVG

Thesis: Thesis: Lung Disease Detection Using Deep Learning

2022–2024

Bachelor's degree, Computer Science and Technology

University of Electronic Science and Technology of China

GPA: 3.81/4.0 - 86.85 AVG

Thesis: Thesis: Fine-Grained Car Image Classification System Using Deep Learning

2017–2021

Publications

Theses

Deep Learning-Based Lung Disease Detection from Chest X-ray Images

Biniyam Gashaw

Master's Thesis, University of Electronic Science and Technology of China · 2024

This research presents a comprehensive deep learning approach for detecting multiple lung diseases from chest X-ray images. Utilizing transfer learning with ResNet50 and DenseNet architectures, the system achieves 94.2% accuracy across 5 disease categories.

Fine-Grained Car Image Classification Using Attention Mechanisms

Biniyam Gashaw

Bachelor's Thesis, University of Electronic Science and Technology of China · 2021

This work explores fine-grained visual recognition for car make and model classification. Using attention-based CNN architectures and multi-scale feature fusion, the system achieves 91.5% top-1 accuracy on the Stanford Cars dataset.

Conference & Journal

Efficient Face Mask Detection Method Using YOLOX: An Approach to Reduce Coronavirus Spread

A. Endris, S. Yang, Y. A. Zenebe, B. Gashaw, J. Mohammed, L. Y. Bayisa, and A. E. Abera

2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), IEEE · 2022

View publication

ABCD: Automatic Blood Cell Detection via Attention-Guided Improved YOLOX

A. E. Hasen, S. Yang, C. C. Ukwuoma, B. Gashaw, and Y. A. Zenebe

arXiv preprint arXiv:2507.19296 · 2025

View publication

Certifications & Awards

Certifications

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Microsoft · 2022-09

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft · 2021-11

Microsoft GitHub Foundations

Microsoft · 2025-10

GitHub Actions for CI/CD

LinkedIn Learning · 2025-10

Awards

Academic Excellence Scholarship (M.Sc., Top 1%)

University of Electronic Science and Technology of China · 2024

Academic Excellence Scholarship (B.Sc.)

University of Electronic Science and Technology of China · 2021

Ethiopian Government Full Scholarship

Ministry of Education, Ethiopia · 2017-2024

Best Performance Award

Wicresoft · 2022

Excellent Performance Awards (4x)

Wicresoft · 2022

Languages

Amharic: Native
Oromo: Native
English: Professional
Mandarin: Intermediate
Somali: Intermediate
Arabic: Basic
German: Beginner

What People Say

“Bini consistently performed at a high level, winning four 'Best Performance' awards. He was always willing to offer mentorship and support to new engineers.”
Nagendra Rijal Upadhyaya

Nagendra Rijal Upadhyaya

General Manager & CCO · Wicresoft

1/9

Get in Touch

Have a project in mind? Let's talk.

Email
biniyam.gashaw@hotmail.com
LinkedIn
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GitHub
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Beijing, China

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