Shoaib Aktar · Python / MLOps Engineer · 4+ yrs
Mid-LevelAbout Shoaib
Shoaib Aktar is a MLOps Engineer with 4+ years of experience in designing and implementing machine learning pipelines. He has a strong focus on operationalizing ML systems and ensuring their scalability and reliability.
4+ years of commercial experience in
Skills(19)
Why hire Shoaib?
Designed and implemented robust MLOps pipelines across Azure Machine Learning and AWS SageMaker.
Automated infrastructure provisioning and configuration using Terraform and Ansible.
Streamlined the end-to-end lifecycle management of ML models by engineering and augmenting MLOps infrastructure.
Automated ML model deployment via CI/CD, ensuring reproducibility and efficiency.
Created robust monitoring and alerting infrastructures to safeguard model performance.
Project highlights(3)
MLOps Infrastructure Development – MLOps Engineer
Overview: Engineered, sustained, and augmented the MLOps infrastructure to streamline the end-to-end lifecycle management of ML models, from data acquisition and preprocessing to model training, validation, deployment, and monitoring. Responsibilities: Designed, developed, and implemented ML/LLM pipelines for AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
Key outcomes:
Streamlined end-to-end lifecycle management of ML models.
Ensured scalability, reliability, and security of operationalized ML systems.
Guaranteed consistent reproducibility and enhanced operational efficiency through automated pipelines.
Project 2 – MLOPS ENGINEER
MLOps Engineer — end-to-end ML lifecycle (data acquisition + preprocessing + training + validation + deployment + monitoring).
Key outcomes:
Streamlined end-to-end lifecycle management of ML models.
Ensured scalability, reliability, and security of operationalized ML systems.
Guaranteed consistent reproducibility and enhanced operational efficiency through automated pipelines.
Automated ML model deployment via CI/CD.
Project 3 – DEVOPS CoNsULtaNt
- Collaborated with development teams using Agile methodologies to actively contribute to the software development lifecycle (SDLC). Administered Linux/UNIX-based Operating Systems.
- Collaborated with development teams using Agile methodologies to contribute to the software development lifecycle (SDLC) actively.
- Administered Linux/UNIX-based Operating Systems and developed solutions using CI/CD tools such as Jenkins, Git, SonarQube, and Jfrog.
- Established standardized procedures for version control using Git or GitHub and automated infrastructure provisioning and configuration with Terraform and Ansible.
Key outcomes:
Developed CI/CD solutions to enhance the software development lifecycle.
Established standardized version control procedures using Git and GitHub.
Automated infrastructure provisioning and configuration, improving efficiency.
Industry experience
AI / ML Platform
2 projects- •MLOps Infrastructure Development— MLOps EngineerPython · Azure Machine Learning · AWS SageMaker · Kubeflow +6
- •Project— MLOPS ENGINEERPython · Azure Machine Learning · AWS SageMaker · Kubeflow +6
SaaS / B2B
Reported in resumeAt a Glance
Single contract. No agency markup confusion.
Typically responds within 4 business hours.
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Shoaib Aktar
MLOPS Engineer