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You will get you images annotated precisely and within given deadlines
Rising Talent
Rising Talent
Project details
I have experience in image labeling using the Computer Vision Annotation Tool (CVAT). CVAT is a web-based platform for annotating images and videos, which I used to label over 2k frames. I am familiar with identifying objects in images and adding labels to them. This experience has equipped me with the skills to label images accurately and efficiently, making me a suitable candidate for image-labeling projects
AI Development Type
Model TuningWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 1 day |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Muhammad
Workflow Automation Expert | Python, AI Agents, LLM's |OpenClaw Agents
Lahore, Pakistan - 5:56 pm local time
𝟯𝟬+ 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗮𝗰𝗿𝗼𝘀𝘀 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗳𝗶𝗻𝘁𝗲𝗰𝗵, 𝗽𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗿𝗲𝘁𝗮𝗶𝗹, 𝗮𝗻𝗱 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲. I lead the AI and automation practice at a 20-engineer agency, which means every system I build is designed for production traffic, real users, and long-term reliability.
𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱:
✓ AI Agents & Multi-Agent Systems: autonomous workflows, tool-calling pipelines, multi-agent orchestration (built lead enrichment agents, AI coaching systems, real estate agent platforms)
✓ OpenClaw Agent Development: custom skill creation, gateway deployment, Docker configuration, WhatsApp/Telegram channel integration, and production-grade agent orchestration
✓ Workflow Automation: n8n, Zapier, Make .com, custom Python pipelines, CRM integrations, webhook orchestration (reduced manual support by 40% for e-commerce client)
✓ RAG & Document Intelligence: enterprise knowledge bases, semantic search, OCR + vector indexing, source-backed answers (delivered 2 enterprise RAG platforms with RBAC and Qdrant)
✓ ML Classification & NLP: on-prem model deployment, text classification, sentiment analysis, taxonomy generation, predictive models (property maintenance classifier on GPU, bank asset categorization)
✓ Chatbots & Voice AI: customer support automation, lead qualification, appointment booking, conversational agents (automated 70%+ of inbound calls for clients)
✓ LLM Integration & Prompt Engineering: OpenAI, Claude, Gemini, Llama, multi-model orchestration with fallbacks, dynamic prompt management, content safety guardrails
𝗖𝗼𝗿𝗲 𝘀𝘁𝗮𝗰𝗸: Python, FastAPI, LangChain, LangGraph, OpenAI API, Anthropic SDK, Google Gemini, OpenClaw, Qdrant, Pinecone, FAISS, Celery, Redis, n8n, Zapier, AWS Lambda, Docker. I pick the right model and tool for the job, not the hyped one.
𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: Clear scope before we start. Daily progress with working demos. Production-grade code with documentation. I've shipped AI systems that process 50K+ daily events, classify thousands of requests on-prem GPUs, and automate entire support workflows. Every project gets the same level of rigor.
Have an AI or automation challenge? Message me with the details. I'll reply within 30 minutes if I'm not away.
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.
Client purchases the project and sends requirements.
1. Provide Images to label. 2. Any additional information if he/she wants to give.