You will get clean datasets annotated and labeled for your machine learning models

Eric B.Status: Offline
Eric B. Eric B.

Let a pro handle the details

Buy Machine Learning services from Eric, priced and ready to go.
Eric B.Status: Offline
Eric B. Eric B.

Let a pro handle the details

Buy Machine Learning services from Eric, priced and ready to go.

Project details

Need high-quality, labeled training data for your machine learning models? AI applications stand or fall on the accuracy of their underlying datasets.

Get professional data annotation and labeling services built specifically to train robust machine learning engines. I handle bulk unstructured data and format it into clean, high-fidelity datasets.

What you get with this catalog project:

• Flawless Text & Image Tagging: Precise categorization, semantic mapping, and object tagging.

• Clean Structured Formats: Deliverables formatted in pristine JSON, CSV, or custom XML structures.

• Human-in-the-loop Validation: Strict manual spot-checks to eliminate errors and maintain >99% data accuracy.

• Custom Schema Mapping: Creating robust categorization frameworks based on your specific project goals.

Save weeks of manual engineering time and ensure your models are trained on pristine data.

Select your annotation package and let's optimize your machine learning pipeline today!
What's included
Service Tiers Starter
$95
Standard
$295
Advanced
$595
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
Model Validation/Testing
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Model Documentation
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Data Source Connectivity
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Source Code
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Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $70

Frequently asked questions

Eric B.Status: Offline

About Eric

Eric B.Status: Offline
Python, C#, C++, SQL, JavaScript, HTML/CSS
Hattiesburg, United States - 6:13 pm local time
As generative AI tools increasingly drive rapid software development, they frequently introduce critical vulnerabilities, structural regressions, and formatting hallucinations into application backends. This specialized profile focuses entirely on securing and optimizing AI-assisted code bases, designing elite prompt architecture, and curating high-fidelity training data. Operating as an AI-Code Vet and AppSec Guard, I review raw LLM outputs and legacy code lines to eliminate memory leaks, race conditions, and unoptimized loops. I leverage a deep understanding of computational complexity to refactor code blocks natively, ensuring your systems are secure, scalable, and production-ready before deployment.

🛠️ Core Services Offered

1. AI Code Review, Optimization & Refactoring

Reviewing, refactoring, and optimizing AI-generated code bases to eliminate performance bugs and "spaghetti" architecture.

Auditing database queries and backend structures to significantly optimize API performance endpoints.

Delivering clean, highly structured repositories along with detailed Markdown reviews explicitly outlining optimized logic paths and complexity reductions (e.g., refactoring algorithmic bottlenecks from $O(N^2)$ down to $O(N \log N)$).

2. Technical Security Audits & Code Red-Teaming

Performing rigorous, automated and manual code security reviews on backend APIs to identify latent vulnerabilities introduced by generative tools.

Red-teaming live cloud deployments and application code to catch OWASP Top 10 risks, including SQL injections, hardcoded API keys, data exposure, and broken object-level authorization.

Generating comprehensive Security Audit Reports that map out discovered execution paths, assign risk levels (High, Medium, Low), and provide precise, copy-paste able remediation code.

3. Custom Prompt Engineering & Dataset Curation (SFT)

Designing and testing robust, highly optimized system prompts to stop model hallucinations and enforce absolute compliance with rigid layout constraints.

Crafting production-grade multi-shot prompt architectures utilizing explicit system instructions, chain-of-thought protocols, XML wrappers, and strict JSON schema validation templates.

Curating, cleaning, and formatting custom Supervised Fine-Tuning (SFT) datasets using JSON Lines (.jsonl) for custom LLM domain adaptations.

4. Technical Writing & Step-by-Step Walkthroughs

Creating exhaustive developer documentation, system architecture flowcharts, and interactive API guides tailored to industry integration standards.

Authoring clear, step-by-step programming tutorials and reasoning traces detailing how to resolve complex software engineering problems.

Utilizing pristine Markdown structures and interactive layout patterns to establish modern, highly accessible developer portals for software systems.

Steps for completing your project

After purchasing the project, send requirements so Eric can start the project.

Delivery time starts when Eric receives requirements from you.

Eric works on your project following the steps below.

Revisions may occur after the delivery date.

Schema Design & Pilot Annotation

You provide raw data and project guidelines. I design a custom tagging schema and run a pilot batch of 50-100 entries to align on exact labeling standards.

Bulk Data Labeling & Verification

I execute the data labeling pipeline using strict categorization, semantic tags, and sentiment maps, applying manual spot-checks to guarantee elite accuracy.

Review the work, release payment, and leave feedback to Eric.