Machine Learning Quality Assurance

Gedebie Endalew

Email: *********@*****.***

Phone: 095*******

LinkedIn:http://bit.ly/40LmM4G

GitHub: https://bit.ly/3Cr1Xl5

Professional Summary

A talented professional with a dual degree in Computer Science and Engineering & Electronics and Communication Engineering, with experience in Machine Learning, Cloud Support and Quality Assurance. Trained in AI through 10 Academy, with hands-on experience machine learning engineering in cloud platforms and quality assurance for social impact. Eager to innovate and bring expertise in AI and cloud services to technical and strategic roles. Education

Adama Science and Technology University

Bachelor of Science in Computer Science & Engineering and Electronics & Communication Engineering

Graduated: 2023

Professional Experience

Machine Learning Engineer (Volunteer)

Omdena

October 2024 – Present(Remote)

● Collaborate on the "AI-Powered Forest Fire Prediction and Early Warning System" project, aimed at developing predictive models for environmental sustainability.

● Utilize machine learning to analyze environmental data, contributing to real-time insights for fire prevention.

QA Engineer

eTech

June 2024 – Present

● Execute comprehensive testing of applications to meet quality standards.

● Work closely with development teams to resolve bugs and enhance product reliability.

● Conduct regression testing, document testing procedures, and present findings to stakeholders.

Cloud Support Engineer

Nedamco Africa

December 2023 – April 2024 Contract

● Provided expert support for cloud-based infrastructure, troubleshooting complex issues to ensure efficient cloud operations.

● Supported deployment and configuration of Microsoft Azure and AWS services, focusing on performance, security, and reliability.

● Collaborated with cross-functional teams to optimize cloud service delivery. Certifications

● Microsoft Azure AI Fundamentals – Microsoft, 2024

● Microsoft Azure Fundamentals – Microsoft, 2023

● AWS Cloud Practitioner – AWS, 2023

Professional Training

10 Academy AI Mastery Training

Specialized training in Data Engineering, Machine Learning, and AI Skills

Technical Skills

● Programming Languages: Python, SQL

● Machine Learning: Model development, data preprocessing, supervised/unsupervised learning

● Cloud Platforms: Microsoft Azure, AWS

● Tools & Frameworks: TensorFlow, Scikit-Learn, Pandas, Jupyter Notebook, FastAPI

● QA Tools: Selenium, JIRA, Postman

Soft Skills

● Problem-solving

● Communication

● Adaptability

● Collaboration

Languages

● English (Fluent)

● Amharic(native)

References

Available upon request.

Contact this candidate