Professional Overview
Results-driven AI/ML & MLOps Engineer with strong experience designing, deploying, and monitoringscalable end-to-end machine learning systems. Proven ability to transition models from research toproduction using CI/CD pipelines, containerization, and cloud-native AWS services. Skilled in modelexperimentation, reliability engineering, data drift detection, and explainable AI, with a strong focus onautomation, reproducibility, and business-aligned outcomes.
AI Expertise
MLOps & Industrialisation
AI & Machine Learning Engineers
Skills
python
tensorflow
pytorch
scikit-learn
pandas
numpy
aws
docker
mlflow
ci/cd
Experience Level
entry-level