Key Skills

Freelancer Overview

I am a quality-focused engineer with hands-on experience supporting AI and ML workflows, specializing in building and optimizing scalable infrastructure for data annotation and model training. My work includes designing and deploying ML pipelines on AWS, GCP, and Azure, orchestrating containerized workloads, and implementing MLOps frameworks for experiment tracking and model versioning. I have collaborated closely with data science teams to ensure the accuracy and reliability of training data, using tools like MLflow, Weights & Biases, and monitoring systems such as Prometheus and Grafana to track data drift and performance. My background in QA engineering and technical support has sharpened my attention to detail, enabling me to create, execute, and automate test plans that improve data quality and model outcomes in domains ranging from web hosting to enterprise applications. I am passionate about enabling seamless collaboration between engineering and data teams to deliver robust AI solutions.

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Education

Work History