You will get an AI assistant that answers questions from your own documents
Project details
I build AI assistants that answer questions from your own documents - accurately and with citations, so you can trust every answer. Using retrieval-augmented generation (RAG), I index your content, retrieve the most relevant passages, and have the model answer only from your material, citing its sources and saying when it doesn't know instead of making things up. Great for support, internal knowledge bases, policy and contract Q&A. With 5+ years in data and AI, I deliver clean, documented, deployable code. Share your documents and the questions you want answered, and I'll build an assistant your team can rely on.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$400
|
Standard
$850
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 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 Sophie
Data Engineer | ETL Pipelines, AI/ML Systems, Kafka, Spark, Cloud
Hanoi, Vietnam - 12:06 pm local time
I help companies turn messy, fragmented data into scalable, reliable, and production-ready data platforms that power analytics, AI, and real business decisions.
With 5+ years of experience across AWS, enterprise systems, and high-growth environments, I’ve built end-to-end pipelines processing billions of records, designed lakehouse architectures, and delivered AI-ready data systems. 
💡 What I can help you with:
• Build ETL/ELT pipelines (batch + real-time)
• Design data warehouses / lakehouse (S3, BigQuery, Iceberg)
• Implement Kafka, CDC (Debezium), streaming systems
• Clean, model, and validate data for analytics & dashboards
• Build AI/LLM-ready data pipelines (RAG, feature pipelines)
• Optimize pipelines for performance, cost, and reliability
⚙️ Tech Stack:
Python • SQL • Spark • Kafka • Airflow • AWS • GCP • BigQuery • Iceberg
🎯 What makes me different:
• I don’t just “move data” — I design systems that are reliable, scalable, and business-ready
• Strong at bridging engineering + analytics + AI
• Experience working with global teams and production systems
If you need someone who can own your data stack end-to-end and make it actually work in production, I can help.
Steps for completing your project
After purchasing the project, send requirements so Sophie can start the project.
Delivery time starts when Sophie receives requirements from you.
Sophie works on your project following the steps below.
Revisions may occur after the delivery date.
Index documents & build the assistant
I index your documents, build the RAG retrieval and answer flow with citations, test it on your questions, and deliver documented code.