You will get AI-Powered Knowledge Base and Helpdesk Automation
Rising Talent
Project details
You’ll get a custom AI knowledge base assistant that automates customer and employee support. It consolidates your FAQs, manuals, policies, and internal documentation into a searchable, intelligent system powered by Retrieval-Augmented Generation (RAG) and Large Language Models.
✅ Core Capabilities:
✔ Converts unstructured data (PDFs, Word docs, web content) into structured embeddings for efficient retrieval
✔ Uses LLMs (OpenAI GPT, Claude, LLaMA, Mistral) to deliver contextually accurate, source-grounded responses
✔ Seamless integration with websites, chat interfaces, or internal portals
✔ Automated document updates with vector database synchronization using Pinecone or Weaviate
✔ Role-based access and secure API integration for enterprise use
✅ Technical Stack:
Python, LangChain, LlamaIndex, FastAPI, Pinecone, Weaviate, OpenAI/Anthropic APIs, or open-source LLMs (LLaMA, Falcon).
Deployment options include AWS, Azure, or local hosting with containerized environments (Docker/Kubernetes).
Let’s connect.
✅ Core Capabilities:
✔ Converts unstructured data (PDFs, Word docs, web content) into structured embeddings for efficient retrieval
✔ Uses LLMs (OpenAI GPT, Claude, LLaMA, Mistral) to deliver contextually accurate, source-grounded responses
✔ Seamless integration with websites, chat interfaces, or internal portals
✔ Automated document updates with vector database synchronization using Pinecone or Weaviate
✔ Role-based access and secure API integration for enterprise use
✅ Technical Stack:
Python, LangChain, LlamaIndex, FastAPI, Pinecone, Weaviate, OpenAI/Anthropic APIs, or open-source LLMs (LLaMA, Falcon).
Deployment options include AWS, Azure, or local hosting with containerized environments (Docker/Kubernetes).
Let’s connect.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$270
|
Standard
$470
|
Advanced
$670
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 0 | 2 | 3 |
Number of Pages Mined/Scraped | 50 | 200 | 350 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Install Script | |||
Test Script | - | ||
Task Automation | - |
About Nouman
Gen AI Engineer | LLM Fine-tuning | NLP | OCR | Voice Agent | Chatbot
Erlangen, Germany - 1:54 am local time
✨What I Do:
~Build Generative AI applications enabling natural language querying and interaction with data for non-technical users.
~Fine-tune and optimize LLMs for domain-specific tasks using curated datasets, PEFT, LoRA, QLoRA, RLHF, and structured evaluation pipelines.
~Develop NLP-driven systems, including text-to-SQL converters, chatbots, and query-to-visualization tools.
~Design predictive models for churn prediction, customer segmentation, and forecasting to support data-driven decisions.
~Create OCR pipelines for extracting structured insights from scanned PDFs, images, and handwritten documents.
~Deploy production-grade AI systems on AWS, FastAPI, Docker, and other scalable cloud architectures.
📊Highlighted Projects:
~Developed a Generative AI tool converting natural language prompts into interactive graph queries and visualizations, reducing data analysis time.
~Built a Natural Language to SQL Query Generator using LangChain, LlamaIndex, and OpenAI GPT, integrated into FastAPI for instant database interaction.
~Fine-tuned and evaluated LLMs with feedback-based optimization, improving benchmark performance and task-specific accuracy.
~Designed predictive churn and segmentation models, reducing customer attrition by 11% for financial institutions.
~Developed an OCR-powered CO₂ footprint estimator, extracting and analyzing environmental data from scanned reports via a cloud-based API.
✅Technical Expertise:
~Programming & Frameworks: Python, SQL, TensorFlow, Keras, Scikit-learn.
~LLM & GenAI Tools: LangChain, LlamaIndex, OpenAI GPT, Hugging Face Transformers.
~Model Optimization: LoRA, QLoRA, PEFT, RLHF, DPO.
~OCR & Computer Vision: Tesseract, PaddleOCR, OpenCV.
~API & Deployment: FastAPI, Docker, AWS (Lambda, S3, EC2, SageMaker).
~Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn.
~Databases & Vector Stores: PostgreSQL, MySQL, Pinecone, Weaviate.
If you’re looking for a Generative AI engineer or NLP or OCR specialist to transform your ideas into production-ready AI applications, let’s collaborate!
#GenerativeAI #LLM #NLP #MachineLearning #AIApplications #AIModelTraining #LangChain #LlamaIndex #ChatGPTDeveloper #RAGSystems #SemanticSearch #DocumentAI #OCR #ComputerVision #AIAutomation #FastAPI #PythonDeveloper #AWS #MLOps #TextToSQL
Steps for completing your project
After purchasing the project, send requirements so Nouman can start the project.
Delivery time starts when Nouman receives requirements from you.
Nouman works on your project following the steps below.
Revisions may occur after the delivery date.
delivery
delivery