AI Machine Learning Review Writer

I need a skilled tech writer who can turn the latest breakthroughs in Artificial Intelligence—specifically Machine Learning—into clear, insightful technology reviews.

Your work will help me keep my audience reliably informed, so each review should balance technical accuracy with readable, engaging language. I’m particularly interested in:
• Practical evaluations of new ML frameworks, libraries, and tools
• Performance comparisons against earlier versions or competing solutions
• Real-world use-case highlights and potential business impact
• Concise “pros, cons, and verdict” summaries that busy readers can scan quickly

If you’re comfortable branching into adjacent AI areas such as NLP or Computer Vision—or even wider tech fields like Blockchain or IoT—that flexibility is a plus, though not essential for this assignment.

Deliverables
1. One polished review article (1,000–1,500 words) each week, delivered in Google Docs.
2. A short executive summary (150–200 words) for social media posts.
3. Proper referencing of research sources, benchmarks, and release notes.

Acceptance Criteria
• Zero plagiarism; every claim backed by citation or data.
• Tone: professional yet accessible, assuming readers have a basic tech background.
• Formatting: sub-headings, bullet points, code snippets or diagrams when helpful.

Please share a brief overview of your experience with Machine Learning tools or platforms (e.g., TensorFlow, PyTorch, scikit-learn) and include one sample of a previous tech review or deep-dive article.