You will get AI and LLM integration into your existing app with RAG and chatbot
Project details
Add real AI capabilities to your existing product - not just a ChatGPT wrapper. We build production-grade AI features that your users will actually use.
Our AI work helped a legal tech startup raise $2M by building semantic document search using RAG and vector databases. We've
integrated AI into healthcare, e-learning, fintech, and SaaS platforms.
What we can build for you:
→ RAG pipelines for document search and Q&A
→ AI chatbots with context awareness
→ Voice AI and conversational interfaces
→ Text2SQL for natural language database queries
→ Content generation and summarization
→ Custom AI agents with multi-step workflows
Tech: OpenAI, LangChain, LlamaIndex, Pinecone, Qdrant, PgVector, Python, Node.js. We integrate with any existing stack.
Choose a tier or message us to discuss your specific use case.
Our AI work helped a legal tech startup raise $2M by building semantic document search using RAG and vector databases. We've
integrated AI into healthcare, e-learning, fintech, and SaaS platforms.
What we can build for you:
→ RAG pipelines for document search and Q&A
→ AI chatbots with context awareness
→ Voice AI and conversational interfaces
→ Text2SQL for natural language database queries
→ Content generation and summarization
→ Custom AI agents with multi-step workflows
Tech: OpenAI, LangChain, LlamaIndex, Pinecone, Qdrant, PgVector, Python, Node.js. We integrate with any existing stack.
Choose a tier or message us to discuss your specific use case.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, AI-Generated Video, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft CNTK, NVIDIA AI PlatformAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 35 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
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MP
Mohitkumar P.
Jun 1, 2026
Full Stack Developer | Python/Django, React/Next.js & AI/Claude SaaS Expert
It was a pleasure working with Yash. He is highly creative, adapts quickly to new challenges, and communicates effectively throughout the project. I truly enjoyed collaborating with him and would be happy to work together again in the future.
RT
Ravi T.
Nov 12, 2025
Python | React - Full Stack AI LLM Development
Excellent Full-Stack AI/LLM Developer
I worked with Yash from Apex 36 Technology Services on a Python and React AI/LLM project, and he delivered outstanding work. He quickly understood the requirements, proposed strong technical solutions, and consistently produced high-quality code across both backend and frontend.
Yash communicates clearly, works efficiently, and takes real ownership of his tasks. His expertise with LLM integrations, Python frameworks, and React made a significant impact on the project. I highly recommend him to anyone looking for a reliable and skilled full-stack AI developer.
I worked with Yash from Apex 36 Technology Services on a Python and React AI/LLM project, and he delivered outstanding work. He quickly understood the requirements, proposed strong technical solutions, and consistently produced high-quality code across both backend and frontend.
Yash communicates clearly, works efficiently, and takes real ownership of his tasks. His expertise with LLM integrations, Python frameworks, and React made a significant impact on the project. I highly recommend him to anyone looking for a reliable and skilled full-stack AI developer.
AC
Alexander C.
Jan 9, 2025
Supabase and Vector Database Expert Needed for Cron Job Debugging
Unfortunately Yash was unable to do the job. we had a sub par experience working with Yas in which we cut the scope due to inability to complete and the deadline was missed. His communication was also poor. After Yas was finished he berated me meanwhile the connection to our database needed direct support from the provider.
TL
Theodor L.
Sep 29, 2024
NextJS Full Stack Development
JC
Jeff C.
May 13, 2024
Data Scraping and Processing Project - Typescript, Node.js, MongoDB, GPT, Pinecone
About Yash
Full Stack Developer | Python, React & AI/LLM Integration | AWS
100%
Job Success
Mumbai, India - 1:53 am local time
I build full-stack products end to end. Python / FastAPI / Django on the back, React / Next.js on the front, AI and LLM integration native to the product using OpenAI, LangChain, and RAG. Not a bolt-on. Not a prototype. Production-grade, AWS-deployed, and built to stay.
If you are building a SaaS product, an AI-powered web app, or need a full-stack engineer who takes full ownership from idea to deployment, that is exactly what I do.
WHAT I BUILD:
Full Stack Web Applications
- React / Next.js / TypeScript frontend: dashboards, SaaS UIs, customer portals
- Python FastAPI / Django backend: REST APIs, GraphQL, microservices
- Multi-tenant SaaS platforms and MVPs built to scale
- AWS: Lambda, EC2, S3, RDS, API Gateway
AI and LLM Integration
- RAG pipelines over documents, PDFs, knowledge bases, enterprise data
- AI agents using LangChain: multi-step workflows, tool use, memory, decision logic
- OpenAI API integration: chat, semantic search, classification, automation
- Vector databases: Pinecone, pgvector, ChromaDB
PROVEN PRODUCTION WORK:
- DecoverAI: Python + React + RAG deployed in US law firms. Company raised $2M seed.
- Speakology: React / Next.js + OpenAI voice. Yale, Tulane, 600+ schools, 12K students.
- Water Advisor AI: AWS Lambda + Python. CCR parsing, lead scoring, email automation.
- 8 more production apps in fintech, healthcare, e-commerce, and education.
TECH STACK:
Python / FastAPI / Django / Node.js / React / Next.js / TypeScript
PostgreSQL / MongoDB / Redis / AWS / Docker / LangChain / OpenAI API / RAG
Tell me what you are building. I respond within hours.
Keywords: Full Stack Developer, Python Developer, React Developer, Full Stack Python Developer, AI Developer, LLM Developer, AI Integration Developer, LangChain Developer, RAG Development, OpenAI API Integration, FastAPI Developer, Django Developer, Next.js Developer, Node.js Developer, TypeScript Developer, AWS Developer, SaaS Developer, MVP Development, AI Agent Development, API Development, REST API Developer, GraphQL Developer, PostgreSQL Developer, MongoDB Developer, Docker Developer, Web Application Development, Full-Stack Development, JavaScript Developer, AI SaaS Development, Python Backend Developer, SaaS MVP Development, AI Product Development, Vector Database Developer, AI Chatbot Developer, Full Stack AI Developer
Steps for completing your project
After purchasing the project, send requirements so Yash can start the project.
Delivery time starts when Yash receives requirements from you.
Yash works on your project following the steps below.
Revisions may occur after the delivery date.
AI Architecture Review (Day 1 - 2)
Analyze your existing app, understand data sources, define AI features, and design the integration approach.
Data Pipeline Setup (Day 3-5)
Set up data ingestion, vector database, embeddings pipeline, and any required preprocessing.