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You will get Advanced Production level RAG Chatbot build on complex unstructured data

Mahendra O.Status: Offline
Mahendra O. Mahendra O.
5.0
Top Rated
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Mahendra, priced and ready to go.
Mahendra O.Status: Offline
Mahendra O. Mahendra O.
5.0
Top Rated
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Mahendra, priced and ready to go.

Project details

This advanced production RAG system uses Docling for accurate unstructured content extraction + chunking and used Azure OpenAI and text-embedding model. It retrieves documents from Azure AI Search with hybrid HNSW vector search, filtering by folder (relative_path) and metadata (file_name). A ChatEngine answers queries using only retrieved context, supported by Memory for long sessions. The system auto-detects relevant folders, dynamically constructs retrievers with hybrid search + reranking, logs, and filters sources by score threshold for accurate, clickable sources respect page numbers .
AI Algorithms
Autoencoder, Large Language Model, Multimodal Large Language Model
AI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Azure OpenAI, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow, Word2vec
AI Models
BERT, ChatGPT, GPT-4, LLaMA

What's included $1,000

These options are included with the project scope.

$1,000
  • Delivery Time 7 days
  • Number of Revisions 2
    • AI Model Integration
    • Model Testing & Optimization
    • Model Tuning
    • Natural Language Processing
    • NLP Tokenization
    • Pre-Training
    • Source Code

Frequently asked questions

5.0
3 reviews
100% Complete
(3)
1% Complete
(0)
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OR

Oliver R.
5.00
Mar 15, 2026
AI Engineering Amazing work. Fantastic contractor. Will hire again.

SS

Saurabh S.
5.00
Jan 30, 2025
RAG Process Development and Data Conversion Specialist Great insights into the application, answered questions beyond the scope of the RAG task to help.

HM

Henry M.
5.00
Jan 21, 2025
Data Scientist
Mahendra O.Status: Offline

About Mahendra

Mahendra O.Status: Offline
Agentic AI Engineer NLP RAG AI Agents Automation LLMs Claude Azure AWS
100% Job Success
5.0  (3 reviews)
Bengaluru, India - 6:09 pm local time
3+ years of Experience as Full-Stack AI Engineer⚡|| LLMops Specialist ||
🎯Delivered production-grade AI solutions for enterprise clients including AMD and Emerson || Product Development & Monitoring || Architect Solutions of ML DL NLP LLM


Hello👋 I'm Mahendra, and I'm truly excited to have you here on my profile today ! ✨

⚡ With over a 3+ years of experience and a specialized degree 🎓 in Data Science establishes a solid foundation of trust 🔒 and assurance 🤝

- 💼 A highly dedicated and results-oriented Data Scientist with a strong background in AI and passion for solving complex business problems.

-🎯Skilled in Machine Learning, Deep Learning, NLP, Generative AI and AIOps

-🚀Adept at building end to end pipelines, developing ML, DL, NLP, LLM Applications, deploying models seamlessly to production ☁️





🛠️ Technical Skills:

✅ AI Frameworks:
LangChain | LlamaIndex | Agno | LangGraph | AutoGen | Hugging Face | Crew AI

✅ AI Models:
OpenAI | Gemini | Llama | Hugging Face | Claude | Ollama | Mistral | DeepSeek | GLM | Kimi

✅ AI Tools Harnesses : Claude Code | Google Antigravity | OpenCode | OpenAI Codex

✅ Data Storage & Vector Database:
SQL | MongoDB | Pinecone | ChromaDB | Faiss | Postgres | Azure AI Search | Milvus | Qdrant | Weaviate | pgvector

✅ Methodologies: Machine Learning | Deep Learning | NLP | Generative AI (LLM)

✅ Programming Languages & Libraries: Python | pandas | NumPy | Matplotlib | seaborn

✅ Tools: MLFlow | DVC | Docker | Git & GitHub | Flask | Airflow | Evidently AI | Fast API | Pydantic

✅ Frameworks: Scikit-learn | TensorFlow | Keras | PyTorch | LangChain

✅ Data Science Techniques:
Data Pre-processing | Feature Engineering | Feature Selection Model Building
Evaluation | Model Monitoring

✅ Cloud Services: AWS | Azure | Docker Hub

✅ AI/ML Operations: Deployment | Monitoring | Experimentation

✅ CI/CD: GitHub Actions

✅ OS: Linux

✅ Dashboarding: Tableau | Microsoft Excel | Statistical Analysis





Generative AI Techniques

✨ Advanced RAG & Agentic RAG - Hybrid Search + Reranker
✨ Chunking Strategies
✨ LLM Summarizer
✨ AI Memory
✨ Chatbots-Q/A
✨ Knowledge Graphs
✨ Fine Tuning LLM
✨ AI Agents , SQL Agents & Multi Agents
✨ Prompt Engineering
✨ Open source & Closed Source AI Models
✨ MCP Servers
✨ PII Detection
✨ LLM Evaluations - Retriever, Generator Evaluators
✨ Custom AI Enterprise Solution




DATASCIENCE TECHNIQUES

✔️ Collecting Raw Data
✔️ Defining Problem statement
✔️ Exploratory Data Analysis
✔️ Feature Engineering
✔️ Feature selection
✔️ Model Building
✔️ Hyperparameter Tuning
✔️ Model Evaluation


Machine Learning Techniques

⚡ Classfication
⚡ Regression
⚡ Clustering
⚡ Outlier Detection
⚡ Tree & Non Tree ML Models
⚡ Hyperparameter Tuning
⚡ Ensemble Learning - Bagging, Boosting, Stacking
⚡ Evaluation Metrics Performance Optimization



NLP & Deep Learning Techniques

💫 Text Classification
💫 Sentimental Analysis
💫 NLP text Preprocessing
💫 Text Encoding Techniques
💫 Word Embeddings
💫 ANN, LSTM, RNN
💫 Transformer Architecture (LLM)


💥 END-TO-END DATA SCIENCE PROJECT EXPERTISE
💥 ADEPT AT BUILDING END TO END PIPELINES ETL
💥 PREDICTIVE MODEL, GEN AI PRODUCT DEVELOPMENT
💥 PRODUCT DEPLOY
💥ARCHITECT SOLUTIONS OF ML DL NLP GENAI




🏆 Achievements: 👉 Demonstrates my ability to design innovative ML, DL, NLP, GENAI solutions tailored to your needs.

🏅 Top 6% in a global Kaggle Data Science competition with a custom machine learning stacking Model No AutoML tools used.

🚀 Over 50+ end-to-end projects on GitHub showcasing expertise in Machine Learning, Deep Learning, NLP, and Generative AI.


📂End-to-End Projects I Have Developed:

🔹 RAG | Multi-Agent RAG | Fine-Tuning LLM | SQL Agents | LLM Summarizer
🔹 Llama Index Azure AI Search Advanced accurate Production level RAG
🔹 LangGraph Multi AI Agent Routing between (RAG + SQL + Normal Q&A)
🔹 Accurate Advanced Agentic RAG
🔹 Cost effective Earnings Call Transcript LLM Summarize
🔹 Medical Chatbot | LLM + Custom PDF Data
🔹 Steel Plant Load Prediction
🔹 Retail Price Optimization
🔹 Sentiment Analysis App
🔹 Medical Insurance Price Prediction
🔹 Customer Attrition Prediction
🔹 MCQ Generator | LangChain + Huggingface LLM
🔹 Insurance Cross-Sell Prediction
🔹 MongoDB Connect | Streamlining Database Connectivity
🔹 Restaurant Revenue Prediction
🔹 Sales Prediction App


💡 Let’s Collaborate:

📌 I'm eager to bring my expertise in data science to your projects and deliver exceptional results.

📌 Let’s collaborate to quickly bring your projects from concept to reality and turn your data challenges into success stories!

Would love to hear back from you soon! 😊

Steps for completing your project

After purchasing the project, send requirements so Mahendra can start the project.

Delivery time starts when Mahendra receives requirements from you.

Mahendra works on your project following the steps below.

Revisions may occur after the delivery date.

Document Parsing and chunking

This advanced production RAG system uses Docling for accurate unstructured content extraction + chunking and used Azure OpenAI and text-embedding model.

Setting up Azure vector database and Azure Open AI GPT_4o model

required API Keys of Azure vector database and Azure Open AI GPT_4o model

Review the work, release payment, and leave feedback to Mahendra.