You will get an AI Retrieval-Augmented Generation(RAG) Developer and Consultant


Project details
An experienced AI RAG Solution Consultant with over 13 years of expertise as a Senior Python Developer, specializing in the design and implementation of cutting-edge AI solutions. Proficient in leveraging Machine Learning, API Integration, Data Engineering, and Automation to build innovative, scalable systems. Skilled in utilizing low-code tools to accelerate development and simplify complex workflows.
Machine Learning
Designing and deploying predictive models using frameworks like TensorFlow and PyTorch.
Expertise in natural language processing (NLP) for retrieval-augmented generation systems.
Experience in integrating generative AI with retrieval systems to deliver contextually relevant results.
API Integration
Development and integration of robust APIs to enable seamless communication across platforms.
Skilled in RESTful APIs and GraphQL.
Ensures secure and optimized API workflows for high-performance systems.
I will leverage my expertise in AI RAG, Python Development, and low-code tools to design and implement innovative, efficient, and reliable AI systems that drive business growth and operational excellence.
Machine Learning
Designing and deploying predictive models using frameworks like TensorFlow and PyTorch.
Expertise in natural language processing (NLP) for retrieval-augmented generation systems.
Experience in integrating generative AI with retrieval systems to deliver contextually relevant results.
API Integration
Development and integration of robust APIs to enable seamless communication across platforms.
Skilled in RESTful APIs and GraphQL.
Ensures secure and optimized API workflows for high-performance systems.
I will leverage my expertise in AI RAG, Python Development, and low-code tools to design and implement innovative, efficient, and reliable AI systems that drive business growth and operational excellence.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, Conversational AI, Machine Translation, Natural Language Understanding, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, OpenAI Codex, Stable DiffusionWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 5 days
- Number of Revisions 2
- AI Model Integration
- Model Documentation
- Natural Language Processing
- Prompt Engineering
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HE
Husam E.
Feb 20, 2026
Academic Researcher Needed for Machine Learning Project
It was pleasure working wifh Muhammad.
NN
Nadiah N.
Dec 2, 2025
Research Manuscript Revision Specialist (Machine Learning)
NN
Nadiah N.
Nov 16, 2025
Research Manuscript Revision Specialist (Machine Learning)
PP
Philipp P.
Mar 4, 2025
You will get Machine Learning Research Paper, Reports
PB
Peter B.
Jul 20, 2024
Academic writing/essay on a topic related to AI/LLM.
Very good job on the project.
About Muhammad
AI | Machine learning | RAG | LangChain | Deep Learning | Open Claw
100%
Job Success
Lahore, Pakistan - 6:41 am local time
I design and deploy production-ready OpenClaw clawbot AI agents with custom skills, multi-channel integrations, and secure self-hosted setups to automate real business workflows end-to-end.
ML Stack -- Machine Learning, NLP, Image Processing, Statistical Reports, NLTK, Gensim, SpaCy, FastText, word2vec, MUSE, Whisper, Whisper v3, Transformers, Diffusion Models, Graph Neural Networks, Hugging Face, Hugging Face Hub, Sentence Transformers, AutoML.
Computer Vision Stack: OpenCV, TensorFlow, Keras, DeepFace, YOLO, YOLOv8, YOLO-NAS, Vision Transformers (ViT), SAM (Segment Anything Model), Stable Diffusion.
Database Stack -- Vector Databases (Pinecone, Weaviate, PgVector, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search, Azure AI Search, Azure DB, Chroma, FAISS ), Semantic Search, Hybrid Search, Embeddings, Multimodal Embeddings.
LLM's -- GPT-4o, GPT-4.1, GPT-4 Turbo, GPT3.5/4, Llama 2, Llama 3, Llama 3.1, Mistral, Mixtral, Claude 3, Gemini. Cloud Code
RAGs, Agents (Langchain, LangGraph, LlamaIndex, OpenAI Assistants API, Tool Calling, Function Calling)
Key Skills:
✔️ GPT Apps development using Python, Langchain, LangGraph, LLM (ChatGPT / GPT 4 / GPT-4o / HuggingFace models), VectorStores (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB, …)
✔️ Automation and integration using ChatGPT API, OpenAI Assistants API, Tool Calling.
✔️ Python solutions using ChatGPT API, Whisper API, GPT 4 model, GPT-4o, and other OpenAI API services.
✔️ Integrating OpenAI's ChatGPT, GPT 4, GPT-4o API to take user prompts.
✔️ Prompt Engineer with great experience in designing various problems for various AI Use cases, System Prompts, Agent Prompts, and Chain-of-Thought optimization.
Recent Project stack
📝 Text Simplification with tokenized BART for accessibility
🌐 Knowledge Graph-Based Question Answering with Graph RAG
🗣️ Voice Recognition in German using Flask, BERT, Whisper
🤖 Enhanced Chatbot with question-answering techniques, RAG, and Agent-based workflows
📊 Multimodal AI Apps (Text + Image + Audio)
🔍 Semantic & Hybrid Search Applications
Expertise in NLP and AI Development:
🌟 LLM Agents (Web, APIs, Databases, Tools, Browsers)
🤖 GPT Apps development using Python, Langchain, LangGraph, and HuggingFace models
🌐 Automation and integration using ChatGPT API, OpenAI Assistants, Tool Calling
🔧 Troubleshooting and optimization of existing chatbot and RAG solutions
✔️ Expert in LLMs (GPT 4, GPT-4o, OpenAI Assistants, ChatGPT)
🛠️ Creative Python API Integration, AI Pipelines, and AI Product Development
clawbot, open claw integration
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Virtual review of the report with the client
Presentation of the requirements analysis summary report and solution design document to the client