I am an experienced ML and MLOps Engineer, specializing in designing and deploying end-to-end machine learning pipelines, optimizing cloud infrastructure, and automating scalable production environments. My work focuses on deploying robust, production-ready AI systems on AWS, GCP, and Azure.
- 🎓 Bachelor's Degree in Electrical Engineering, Communication Stream, from Addis Ababa Science and Technology University.
- 📊 Completed intensive Machine Learning Engineering training at 10Academy.
- ☁️ Experienced in cloud platforms (AWS, GCP, Azure), with expertise in model deployment, cost optimization, and performance tuning.
- 💻 Proficient in MLOps tools like Docker, Kubernetes, Airflow, and MLflow to automate workflows and streamline deployment.
- 🥅 2024 Goals: Contribute to open-source MLOps projects and build scalable, real-world cloud-based ML solutions.
- ⚡ Fun fact: I enjoy cloud-gazing and solving real-world challenges through cloud-based AI solutions.
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fullName: "Biniyam Belayneh Demisse",
origin: "Ethiopia 🇪🇹",
jobStatus: ["ML Engineer", "MLOps Engineer Open for Hire"],
hobbies: ["Cloud Computing", "Machine Learning", "Reading", "Problem Solving"],
techLanguages: ["Python", "Bash", "Terraform", "Ansible", "JavaScript", "SQL"],
age: 27,
educationLevel: {
bachelorsDegree: "Electrical Engineering, Communication Stream",
isCompleted: true,
},
cloudPlatforms: ["AWS", "GCP", "Azure"],
lookingForNewOpportunities: true
}
- Deploying Machine Learning Models at Scale Using AWS and Terraform
- End-to-End MLOps Pipeline with Docker and Kubernetes
- Optimizing Machine Learning Model Training with MLflow and DVC
Thanks for Stopping by and visiting!! 😊