You will get AI / RAG Debug & Reliability Fix (Chat, Search, Agents)
Top Rated

Top Rated

Project details
You will get a working, stable AI or RAG system that behaves predictably, answers correctly, and doesn’t randomly break or burn tokens.
I specialize in fixing AI systems that were built fast but are now unreliable: hallucinations, wrong context retrieval, slow responses, crashes, token explosions, and “it worked yesterday” behavior.
This project focuses on debugging and stabilization, not demos. I analyze your prompts, embeddings, retrieval logic, API usage, and runtime behavior—then fix the real cause. For advanced tiers, I add guardrails, logging, retries, evaluations, and cost controls so your AI can safely run in production.
I specialize in fixing AI systems that were built fast but are now unreliable: hallucinations, wrong context retrieval, slow responses, crashes, token explosions, and “it worked yesterday” behavior.
This project focuses on debugging and stabilization, not demos. I analyze your prompts, embeddings, retrieval logic, API usage, and runtime behavior—then fix the real cause. For advanced tiers, I add guardrails, logging, retries, evaluations, and cost controls so your AI can safely run in production.
AI Algorithms
AlexNet, Generative Adversarial Network, Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Enhanced Classification, AI-Enhanced Medical Imaging, Conversational AI, Machine Translation, Neural Machine Translation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, NVIDIA AI Platform, PyTorch, StreamlitAI Models
ChatGPT, DALL-E, GPT-4, GPT-J, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 5 | 8 | 9 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
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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 - 10:13 pm 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.
Problem Statement
Proposed Solution
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