You will get AI Chatbot Development RAG, LLM integrations, Langchain/Langgraph
Top Rated
Project details
I build production-ready AI chatbots using RAG (Pinecone/ChromaDB) + LangChain/LangGraph with FastAPI backends and modern LLMs.
I can makePDFs, docs, websites, or internal knowledge base into a secure, accurate Q&A assistant with citations. I have 3 years of experience in AI niche .
Includes end-to-end pipeline: data ingestion → chunking → embeddings → retrieval → response orchestration + guardrails.
Features: multi-turn memory, tools/function-calling, role-based access, feedback loop, and analytics/logging.
Deployable via Docker/Cloud with REST APIs, auth, rate limits, and scalable architecture.
I can makePDFs, docs, websites, or internal knowledge base into a secure, accurate Q&A assistant with citations. I have 3 years of experience in AI niche .
Includes end-to-end pipeline: data ingestion → chunking → embeddings → retrieval → response orchestration + guardrails.
Features: multi-turn memory, tools/function-calling, role-based access, feedback loop, and analytics/logging.
Deployable via Docker/Cloud with REST APIs, auth, rate limits, and scalable architecture.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Keras, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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RG
Risky G.
May 19, 2025
Linear Regression Project
Sannan delivered the project on time, the project met all the requirements. 10/10 would recommend
RG
Risky G.
Apr 19, 2025
Programmer
Competent, delivered on time and made revisions when requested without additional charge.
FA
Fatima A.
Apr 9, 2025
Road defect project.
The project was completed efficiently and with professionalism. The work was delivered on time, and communication was always clear and prompt. I'm very happy with the results.
SA
Shahenaz A.
Mar 29, 2025
Yolo
About Sannan
AI/ML Engineer | RAG Chatbots, Agentic AI, Automation (n8n), Computer
100%
Job Success
Islamabad, Pakistan - 2:53 pm local time
Most of my work falls into a few areas:
RAG chatbots and agentic AI. I build assistants and automation on top of LangChain and LangGraph, using OpenAI and Claude models. This covers retrieval over your own documents, vector databases like Pinecone and ChromaDB, conversation memory, tool calling, and multi-agent setups. These usually need to talk to your existing APIs, databases, documents, or email and calendar, so I handle those integrations too.
Workflow automation. I build automated workflows with n8n and OpenClaw to connect the tools a business already uses and cut out repetitive manual work. This includes things like routing incoming leads or emails, syncing data between apps, triggering actions from webhooks, and wiring AI models into those flows so a chatbot or detection result can kick off the next step automatically. If you're already running Zapier or Make and hitting their limits, n8n usually gives more control at lower cost.
Computer vision. I train and deploy custom detection models with YOLO, PyTorch, and OpenCV. Past work includes PPE and safety monitoring, retail shelf and product analytics, and defect inspection, including real-time video, CCTV, and RTSP streams. I've also deployed to edge devices like the Jetson Nano.
Python and machine learning. Data cleaning, EDA, feature engineering, and standard ML tasks (classification, regression, clustering), plus automation scripts and data pipelines with Pandas, NumPy, and scikit-learn.
Backend and databases. REST APIs and model-serving endpoints in FastAPI and Flask, auth, third-party integrations, webhooks, and background jobs. I work with PostgreSQL, MySQL, Supabase, and vector databases, and I've built backends for React and Flutter apps.
Deployment and MLOps. Docker, CI/CD with GitHub Actions or GitLab, model and dataset versioning, experiment tracking, AWS S3, and deploying to cloud VMs, with logging and monitoring once things are live.
If you've got a project in mind, or a prototype that needs to be made production-ready, send me a message with some details and I'll let you know how I'd approach it and whether I'm a good fit.
Steps for completing your project
After purchasing the project, send requirements so Sannan can start the project.
Delivery time starts when Sannan receives requirements from you.
Sannan works on your project following the steps below.
Revisions may occur after the delivery date.
RAG Chatbot Build (LangChain/LangGraph)
I implement the RAG pipeline with prompts, citations, memory, and guardrails (fallbacks, constraints) to reduce hallucinations.