MLOps/DevOps | Cloud Native, CI/CD, K8s, ML
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Hi there! I'm excitedly looking for my next big opportunity in Machine Learning Operations, DevOps, and Software Engineering.
Built a Q&A chatbot serving 1k monthly users at Ericsson.
Managed Kubeflow on Kubernetes at Stratosfy, reducing training time by 13%.
Ensured 99.9% uptime via stress tests.
Improved observability with Grafana and Prometheus setups.
Why I Do What I Do:
I thrive on automating and optimizing workflows, scaling systems, and making data-driven decisions. I love solving complex problems in fast-paced tech environments.
Programming: Java, Python, SQL | Tech Skills: TensorFlow, PyTorch, Pandas, NumPy, Matplotlib, TFX, PySpark, Kubeflow | Frameworks: Spring Boot, Hibernate, Angular | DevOps: Git, Docker, Kubernetes | Methodologies: Agile, Data-Driven, A/B Testing, R&D, Project Management | Databases: MySQL, MongoDB | Soft Skills: Communication, Problem-Solving, Curiosity
I’m keen to bring my skills to a forward-thinking company in roles such as MLOps Engineer, DevOps Engineer, or Software Engineer. Connect or message me to discuss how I can add value to your team.
Intern with specialized skills in machine learning and DevOps across multiple sectors. Built and deployed a Q&A chatbot for Ericsson, optimized ML training times by 13%, ensured 99.9% system uptime at Stratosfy, and improved ML algorithm performance by 35% at Cybernetica.
an MSc in Computer Science with a focus on Software Engineering from the University of Ottawa with a GPA of A+.
