Blevine W.

Key Skills

Software

Other

Top Subject Matter

Cloud-native ML microservices deployment automation (DevOps support for AI services)

Telemetry-driven ML personalization for mobile applications

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Data Collection

Freelancer Overview

DevOps Engineer (Contract) supporting AI-powered cloud deployments and automated release workflows.. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include GitHub Actions and Other. Education includes Bachelor of Science, The University of Nairobi (2023) and AWS Solutions Architect Associate, Amazon Web Services (AWS) (2029). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

DevOps Engineer (Contract) supporting AI-powered cloud deployments and automated release workflows.

Automated CI/CD deployment workflows for cloud-native services supporting ML-powered applications in distributed environments. Implemented and maintained automated testing and deployment pipelines using containerized Docker workflows and GitHub Actions for reliable releases. Focused on improving operational efficiency and scalability to support ongoing AI service delivery. • Automated deployments using GitHub Actions and Docker workflows. • Monitored AWS infrastructure components to enhance reliability. • Troubleshot Linux-based cloud environments with engineering teams. • Improved deployment reliability and operational efficiency.

2026 - 2026

Android App Developer integrating ML-powered personalization and analytics.

OtherData Collection

Integrated ML-powered personalization features into Android applications based on telemetry insights. Worked on improving build and deployment efficiency through CI/CD automation and enhanced analytics instrumentation to support model-driven user experiences. Produced technical documentation for deployment workflows to enable repeatable ML feature releases. • Integrated ML-driven analytics and personalization into mobile apps. • Optimized CI/CD automation and telemetry analytics for faster releases. • Developed scalable software solutions to support ML personalization. • Authored documentation covering deployment workflows.

2023 - 2025

Education

Work History