You will get an AI chatbot, RAG assistant, or custom LLM automation
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Project details
You will get a custom AI agent, RAG chatbot, or LLM powered automation built around your business workflow, data, documents, APIs, or internal tools.
I can help you build AI systems that answer questions from your own knowledge base, search documents, process PDFs, automate repetitive tasks, connect with APIs, support customers, or work as an intelligent assistant inside your existing product.
Depending on your requirement, the solution can include OpenAI, Claude, LangChain, LangGraph, Python, FastAPI, vector database setup, prompt engineering, backend APIs, and third party integrations.
This is useful for document Q&A chatbots, internal knowledge assistants, customer support bots, AI workflow automation, API-connected agents, CRM/email automation, and AI powered MVP features.
My focus is to build a practical and clean solution, not just a basic demo. I’ll plan the workflow, set up the AI logic, connect the required data sources, test the output, and provide proper handover so the system is easy to use, maintain, and improve later.
I can help you build AI systems that answer questions from your own knowledge base, search documents, process PDFs, automate repetitive tasks, connect with APIs, support customers, or work as an intelligent assistant inside your existing product.
Depending on your requirement, the solution can include OpenAI, Claude, LangChain, LangGraph, Python, FastAPI, vector database setup, prompt engineering, backend APIs, and third party integrations.
This is useful for document Q&A chatbots, internal knowledge assistants, customer support bots, AI workflow automation, API-connected agents, CRM/email automation, and AI powered MVP features.
My focus is to build a practical and clean solution, not just a basic demo. I’ll plan the workflow, set up the AI logic, connect the required data sources, test the output, and provide proper handover so the system is easy to use, maintain, and improve later.
Machine Learning Tools
Apache Spark, Azure Machine Learning, BERT, ChatGPT, Google AutoML, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$95
|
Standard
$745
|
Advanced
$1,495
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
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About Biswajeet
AI-Driven Python Full Stack Developer | AWS | FastAPI | React | DevOps
100%
Job Success
Noida, India - 10:06 am local time
Biswajeet is a Python Full Stack Developer and cloud consultant with 5+ years of experience building robust, scalable web applications and automation solutions for startups and product teams. He specializes in backend-driven development using Python (FastAPI, Django, Flask), modern frontend frameworks (React, Next.js, NestJS), and cloud infrastructure (AWS).
He helps businesses design, build, and optimize backend APIs, serverless architectures, and modern UIs. Bishwajeet is skilled in setting up end-to-end CI/CD pipelines, integrating AI/ML engines, automating workflows, and implementing secure, scalable solutions using Docker and DevOps best practices.
He has delivered projects for fast-growing platforms in FinTech, EdTech, SaaS, and LegalTech—covering everything from AI-driven chatbots and generative AI to cloud cost optimization and automation with tools like Langchain, OpenAI, n8n and Make.com.
Biswajeet ensures every product is maintainable, high-performing, and ready to scale as user demand grows.
✅ Key Skills & Tools:
- AI & Automation: AI App Development, Generative AI, AI Chatbots, AI Consulting, OpenAI, Langchain, n8n, Make.com
- Backend: Python, Django, FastAPI, Flask, REST API, Serverless
- Frontend: React, Next.js, NestJS
- Cloud/DevOps: AWS, Docker, CI/CD, Infrastructure as Code
- Databases: PostgreSQL, MySQL, MongoDB
- Other: Automation, Back-End Development, SaaS, FinTech, EdTech
Steps for completing your project
After purchasing the project, send requirements so Biswajeet can start the project.
Delivery time starts when Biswajeet receives requirements from you.
Biswajeet works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I’ll review your goal, data sources, workflow, users, and expected AI output before starting the build.
AI Workflow Planning
I’ll plan the model, prompts, RAG flow, vector database, API structure, and integration approach.