You will get AI Document Assistant — Chat with PDFs, Word Docs & Knowledge Bases
Project details
Do your teams waste hours searching through PDFs, reports, contracts, or manuals just to find one answer? I build AI-powered Document Q&A systems that eliminate that problem entirely.
Using RAG (Retrieval-Augmented Generation), I connect your documents directly to a smart chat interface — your team simply asks a question and gets a precise answer, with the exact source page cited.
What I deliver:
— Upload any PDF, Word, or TXT file
— AI reads, indexes, and answers from your content
— Clean chat UI built in React
— Secure backend API in Node.js
— Vector search via Pinecone or pgvector
— Powered by GPT-4 or Claude API
— Deployed on AWS or your preferred platform
I bring 10+ years of full-stack development experience to every project — clean code, clear communication, and on-time delivery. While this is a newer service offering on Upwork, the technology and engineering quality behind it is not.
If you have documents that hold answers your team needs faster, I can build the system that makes that happen.
Let's talk about your project
Using RAG (Retrieval-Augmented Generation), I connect your documents directly to a smart chat interface — your team simply asks a question and gets a precise answer, with the exact source page cited.
What I deliver:
— Upload any PDF, Word, or TXT file
— AI reads, indexes, and answers from your content
— Clean chat UI built in React
— Secure backend API in Node.js
— Vector search via Pinecone or pgvector
— Powered by GPT-4 or Claude API
— Deployed on AWS or your preferred platform
I bring 10+ years of full-stack development experience to every project — clean code, clear communication, and on-time delivery. While this is a newer service offering on Upwork, the technology and engineering quality behind it is not.
If you have documents that hold answers your team needs faster, I can build the system that makes that happen.
Let's talk about your project
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
BERT, ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 0 |
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 Parshwa
AI-Enabled Full-Stack Architect | Node, React, AWS | LLM & SaaS System
Ahmedabad, India - 4:32 am local time
With 10+ years of experience as a Full-Stack Engineer and Tech Lead, I design and deliver production-grade systems using Node.js, React, AWS, and modern AI/LLM technologies.
I combine strong system architecture expertise with practical AI implementation to build intelligent, scalable products — not just features.
## 🤖 AI & LLM Integration
I build and integrate:
• LLM-powered applications (AI chatbots, assistants, workflow automation)
• OpenAI API integrations
• RAG (Retrieval-Augmented Generation) systems
• AI-driven SaaS features
• Prompt-engineered business logic
• Intelligent automation pipelines
I focus on practical AI implementation that improves user experience, productivity, and operational efficiency — without overengineering.
## 🏗 Core Technical Expertise
### Backend Architecture
• Node.js (Express.js, Nest.js)
• REST APIs & Microservices
• Authentication & Authorization Systems
• Payment Gateway & Subscription Systems
• Event-driven systems (Redis, RabbitMQ)
• Database Design (PostgreSQL, MongoDB, MySQL)
### Frontend Development
• React.js (TypeScript)
• Angular
• Scalable component architecture
• Performance-optimized UI systems
### Cloud & DevOps
• AWS (EC2, RDS, S3, Lambda)
• Docker
• CI/CD pipelines
• Scalable cloud deployment
## 🎯 What You Can Expect Working With Me
• Architecture-level thinking
• Clean, scalable, maintainable code
• Clear communication and regular updates
• Business-focused technical decisions
• Long-term reliability
If you're building a SaaS product, AI-powered platform, or need a senior engineer to design and scale your system properly — let’s connect.
I’m ready to help you turn your idea into a production-ready solution. 🚀
Steps for completing your project
After purchasing the project, send requirements so Parshwa can start the project.
Delivery time starts when Parshwa receives requirements from you.
Parshwa works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement review
Analyse your documents, confirm the use case, finalise the tech stack, and align on expected output before any coding begins.
Document pipeline setup
Build the ingestion system to parse, chunk, and embed your documents into the vector database ready for semantic search.