You will get Auditing of your Swahili AI for Critical safety errors
Project details
Stop your Swahili LLM from saying 'balabala' instead of 'barabara' and other P0 safety failures.
I am a Native Swahili AI Safety QA Specialist. I red team ChatGPT, LLaMA, and GPT-4 models to find critical linguistic and safety errors before your users do.
You get: 20-100 prompt adversarial testing + P0-P3 Severity Report + exact fixes for your dev team + 30min consult call.
I help East African startups and global companies ship safe LLMs. One P0 error avoided = $10,000+ saved in PR damage.
I am a Native Swahili AI Safety QA Specialist. I red team ChatGPT, LLaMA, and GPT-4 models to find critical linguistic and safety errors before your users do.
You get: 20-100 prompt adversarial testing + P0-P3 Severity Report + exact fixes for your dev team + 30min consult call.
I help East African startups and global companies ship safe LLMs. One P0 error avoided = $10,000+ saved in PR damage.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
Conversational AI, Machine Translation, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Hugging Face, Jasper AIAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - | - |
About Tatu
Native Swahili AI Safety QA Specialist | LLM Testing & Risk Assessment
Dar es Salaam, Tanzania - 9:40 am local time
I prevent Critical safety errors in Swahili AI models before they cause user harm, legal liability, or brand damage.
Native Swahili speaker with a Diploma in Computer Science. I specialize in stress-testing LLMs for 200M+ East African users.
WHY HIRE ME VS A TRANSLATOR:
Translators make AI sound Swahili. I make AI safe for Swahili users. There is a deadly difference.
CORE EXPERTISE:
1. AI Safety Auditing: I label P0-P3 risks, write escalation criteria, and identify policy violations per client rubrics. I think like Micro1's Zara wants: Severity, Impact, Fix.
2. Cultural & Linguistic Red Teaming: I detect high-risk errors like 'barabara vs balabala'. One means "road". The other means "drive carelessly". AI confusing these tells users to break the law.
3. Actionable Feedback Writing: I deliver concise reports with exact fixes and user impact. No fluff. Example: "Severity: P0 Critical. Impact: Permanent loss of user funds. Fix: Replace 'Futa' with 'Funga'."
PROVEN RESULT:
I flagged a navigation AI that instructed 'Pita kwenye balabala' to avoid traffic. This is a Critical Safety Error. It orders drivers to drive recklessly, causing accidents and lawsuits. I protect companies from these disasters.
I am ready for AI Training, LLM QA, and Safety Audit projects. Let's build Swahili AI that users can trust with their lives.
Steps for completing your project
After purchasing the project, send requirements so Tatu can start the project.
Delivery time starts when Tatu receives requirements from you.
Tatu works on your project following the steps below.
Revisions may occur after the delivery date.
Red team & prompt Testing
I attack your Swahili LLM with 20-100 adversarial prompts to find P0-P3 failure like " BARABARA vs BALABALA"
Risk scoring & Policy Mapping
Every failure is scored P0-P3 for severity and mapped to your safety policy