You will get AI/LLM & RLHF Evaluator | AI Trainer |Manufacturing AI SME |Python Logic QA
Project details
For 15+ years, I built and optimized SAP EAM, Manufacturing, Procurement, Quality, Production systems, deep-diving into equipment logic, BOM structures, Routings, Work Centres, Quality Inspections, Work Orders, Planned Orders, Production Orders and Procurement/Supply chain data.
Now I am bringing that deep domain expertise to the AI space for AI Training, AI Data Annotation, LLM Evaluation.
I specialize in evaluating Large language Models (LLMs), validating RAG (Retrieval-Augmented generation) architectures, and acting as a "Human-in-the-Loop" to catch AI hallucinations in technical data. I will also mathematically evaluate RAG's pipeline's performance using "RAGAS" framework implementation.
I bridge the gap between complex industrial logic and modern AI/Python data structures.
Currently open to premium AI Trainer, AI Data Annotation, LLM Evaluation & AI Data Validation expert roles.
Now I am bringing that deep domain expertise to the AI space for AI Training, AI Data Annotation, LLM Evaluation.
I specialize in evaluating Large language Models (LLMs), validating RAG (Retrieval-Augmented generation) architectures, and acting as a "Human-in-the-Loop" to catch AI hallucinations in technical data. I will also mathematically evaluate RAG's pipeline's performance using "RAGAS" framework implementation.
I bridge the gap between complex industrial logic and modern AI/Python data structures.
Currently open to premium AI Trainer, AI Data Annotation, LLM Evaluation & AI Data Validation expert roles.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI-Generated Code, Anomaly Detection, Natural Language Generation, Natural Language Understanding, Synthetic Data Generation, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, StreamlitAI Models
BERT, BLOOM, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$350
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 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 | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $1,000
Additional Revision
+$100
Web Scraping JSON QA
(+ 2 Days)
+$300
On-Premise/Local LLM Review
(+ 1 Day)
+$500About Mohammad Tahir
n8n Automation | Airtable | Claude | Langchain | Llama-Index | Google
New Delhi, India - 5:55 am local time
Management (SAP/ERP/CRM).
Now focusing on AI/ML, with emphasis on AI Automation, RAG, LLM.
Strong understanding of relational data structures, Boolean login and edge-case troubleshooting in industrial environments.
n8n AI Automation
Claude Code
Airtable
Google Sheets
Google Apps Script
GCP AI, Azure AI
Ollama
Groq
Hugging Face
LlamaIndex
LangChain, LangGraph
Pinecone, ChromaDB, FAISS, Qdrant
Steps for completing your project
After purchasing the project, send requirements so Mohammad Tahir can start the project.
Delivery time starts when Mohammad Tahir receives requirements from you.
Mohammad Tahir works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.
As per mutually agreed upon with client.
Step1. Alignment & Context
I will review your source documentations and use cases to understand the exact manufacturing, supply chain, quality, production or maintenance logic AI is supposed to follow.