You will get a compliance-aware AI workflow with reproducible outputs
Project details
You will get a compliance-aware AI or data workflow designed to produce reproducible, traceable, and well-documented outputs. This project is ideal for organisations that need reliable AI, RAG, NLP, analytics, or data pipeline solutions that can be reviewed, repeated, explained, and trusted.
Unlike generic AI development, my focus is on building workflows with clear input/output tracking, prompt and response traceability, data quality checks, structured documentation, and audit-ready logic. I can help with Python or R pipelines, LLM/RAG systems, document-based AI workflows, model documentation, validation checks, and governance-aware workflow design.
With 6+ years of experience in data science, clinical AI, statistical modelling, machine learning, reproducible research, and regulated analytics, I deliver solutions that are not only functional, but also structured, transparent, and suitable for serious business or regulated environments.
Unlike generic AI development, my focus is on building workflows with clear input/output tracking, prompt and response traceability, data quality checks, structured documentation, and audit-ready logic. I can help with Python or R pipelines, LLM/RAG systems, document-based AI workflows, model documentation, validation checks, and governance-aware workflow design.
With 6+ years of experience in data science, clinical AI, statistical modelling, machine learning, reproducible research, and regulated analytics, I deliver solutions that are not only functional, but also structured, transparent, and suitable for serious business or regulated environments.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, Anomaly Detection, Machine Translation, Natural Language Generation, Sentiment Analysis, Synthetic Data Generation, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$250
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
About Osei
I build reproducible AI, analytics, and data workflows.
Harlow, United Kingdom - 8:52 am local time
Steps for completing your project
After purchasing the project, send requirements so Osei can start the project.
Delivery time starts when Osei receives requirements from you.
Osei works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and workflow
I will review your project goals, data sources, documents, current process, risks, and expected outputs to define a clear technical plan.
Design reproducible workflow
I will design the workflow structure, including inputs, outputs, processing logic, traceability points, documentation needs, and validation checks.