Personal portfolio Papers on AWS & AI/ML

I want to add three solid, portfolio-ready papers to my personal body of work and I need an expert writer-researcher to produce them for me. Each paper must be:

• 8 pages (≈ 5 000 words)
• fully formatted in IEEE style and delivered as clean, compilable LaTeX
• accompanied by the final PDF

Scope for the three papers
1. AWS services and cloud-native architecture—cover core building blocks such as VPC, IAM, S3, Lambda, and how they interoperate in production-grade designs.
2. Data Engineering methodologies—drill into ETL processes and modern data-pipeline patterns on AWS (Glue, Step Functions, Kinesis, etc.) with diagrams and code snippets where helpful.
3. AI/ML algorithms and applications—tie in SageMaker, feature engineering, and model deployment on AWS, illustrating at least one end-to-end use case.

Purpose
These are personal papers for my own portfolio, not for formal academic submission, so I prefer a clear, technically precise tone rather than dense academic prose. Originality is critical; no recycled content.

Acceptance criteria
• LaTeX compiles without errors or external packages beyond standard IEEEtran requirements.
• All diagrams are vector (TikZ, pgfplots, or embedded SVG/PDF).
• References follow IEEE citation style and include at least ten recent sources per paper.
• Plagiarism check passes (< 5 % similarity).

I can share an outline or key references if it helps, and the USD 250 budget for the set is slightly negotiable if a particular section needs deeper work. Let’s discuss milestones and any clarifications you might need.