You will get AI Data Pipeline & Annotation
Rising Talent
Project details
I build end-to-end AI data pipelines and annotation workflows that turn
raw, messy data into clean, structured, model-ready datasets — whether
you're training a custom ML model, fine-tuning an LLM, or preparing data
for a computer vision system.
What makes this project different:
I don't just label data — I build the full pipeline. From raw ingestion
and cleaning to structured annotation and final delivery in your required
format (CSV, JSONL, Parquet, HuggingFace), every dataset is quality-checked
and ready to train on immediately.
What I deliver:
✅ Automated data ingestion and cleaning pipelines (Python, pandas)
✅ Text, image, and tabular data annotation for NLP, classification, and CV
✅ LLM fine-tuning datasets (OpenAI, HuggingFace, custom formats)
✅ RLHF and preference data preparation
✅ Train/validation/test splits with full quality checks
✅ Label Studio workflows and custom annotation scripts
✅ Complete source code and documentation
Ideal for:
→ Startups building custom AI models
→ Teams fine-tuning LLMs on domain-specific data
→ Businesses needing clean, structured data fast
Fast delivery. Clean code. Data you can actually train on.
raw, messy data into clean, structured, model-ready datasets — whether
you're training a custom ML model, fine-tuning an LLM, or preparing data
for a computer vision system.
What makes this project different:
I don't just label data — I build the full pipeline. From raw ingestion
and cleaning to structured annotation and final delivery in your required
format (CSV, JSONL, Parquet, HuggingFace), every dataset is quality-checked
and ready to train on immediately.
What I deliver:
✅ Automated data ingestion and cleaning pipelines (Python, pandas)
✅ Text, image, and tabular data annotation for NLP, classification, and CV
✅ LLM fine-tuning datasets (OpenAI, HuggingFace, custom formats)
✅ RLHF and preference data preparation
✅ Train/validation/test splits with full quality checks
✅ Label Studio workflows and custom annotation scripts
✅ Complete source code and documentation
Ideal for:
→ Startups building custom AI models
→ Teams fine-tuning LLMs on domain-specific data
→ Businesses needing clean, structured data fast
Fast delivery. Clean code. Data you can actually train on.
Machine Learning Tools
BERT, BigDL, ChatGPT, Google Sheets, Keras, MLflow, NumPy, OpenCV, Python, PyTorch, scikit-learn, Scrapy, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$110
|
Standard
$200
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 5 days |
Number of Revisions | 3 | 4 | 5 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 2 | 3 | 3 |
Number of Graphs/Charts | 5 | 6 | 7 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Ali
AI Engineer | LLM Agents | Computer Vision | RAG Systems | Agentic AI
Lahore, Pakistan - 11:31 am local time
I build AI that ships.
Whether you need an autonomous agent that books calls 24/7, a RAG pipeline answering questions over your company docs, or a computer vision system processing 1000+ frames/second I've built it, deployed it, and kept it running.
━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ━━━
𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬
🔹GPT-4 / Claude pipelines with LangChain & LangGraph
🔹Voice agents with VAPI, Retell, ElevenLabs & NBN
🔹RAG systems with ChromaDB, Pinecone, FAISS
🔹Multi-agent orchestration & autonomous tool-calling
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧
🔹Real-time detection with YOLO, OpenCV, TensorFlow
🔹Activity recognition & anomaly detection
🔹Custom CNN architectures & model training
🔹Video analytics & monitoring at scale
𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐋𝐎𝐩𝐬
🔹End-to-end pipelines with MLflow, DVC, Docker
🔹CI/CD for ML systems on AWS / Azure
🔹Multi-platform API integrations
🔹CRM, database & notification workflows
━━━ 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 ━━━
✔ 40–60% reduction in manual task time through intelligent automation
✔ Computer vision systems processing 1000+ frames/second in production
✔ ML pipelines with 99.9% uptime on AWS/Azure
✔ Led end-to-end AI strategy as CTO at CraftyAutomation
━━━ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ━━━
Most AI freelancers hand you a Jupyter notebook and call it done.
I hand you a deployed system with clean code, documentation, and a roadmap. Before writing a single line of code, I send you a clear implementation plan so you always know what's being built, why, and when it ships.
⚡ Response time: under 1 hour
📋 Every project starts with a written implementation roadmap
🔁 Weekly progress updates at every milestone
🤝 Long-term reliability not a one-and-done contractor
━━━ 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫 ━━━
🤖 𝐀𝐈 𝐀𝐆𝐄𝐍𝐓𝐒 & 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍
🔹 Lead Qualification Agent (GPT-4 · FSM · GoHighLevel booking)
🔹 Agentic Stock Analysis (Multi-Agent · Groq · YFinance)
🔹 AI Workflow Automation (n8n · WhatsApp · Slack · CRM)
🔹 AI Voice Agent (VAPI / Retell / ElevenLabs)
👁️ 𝗖𝗢𝗠𝗣𝗨𝗧𝗘𝗥 𝗩𝗜𝗦𝗜𝗢𝗡 & 𝗜𝗼𝗧
🔹 AI Security Camera System (YOLOv11 · Face ID · Weapon Detection)
🔹 Smart Door Access System (Face + NFC Card · Arduino · FastAPI)
🔹 Virtual Clothes Try-On App (IDM-VTON · MediaPipe · ONNX)
🔹 Android Malware Detection (ML · GRU · BERT · Few-Shot)
🧠 𝐌𝐀𝐂𝐇𝐈𝐍𝐄 𝐋𝐄𝐀𝐑𝐍𝐈𝐍𝐆 & 𝐗𝐀I
🔹 Explainable AI (XAI) Systems (SHAP · LIME · Grad-CAM)
🔹 Healthcare AI & Risk Prediction (Sepsis · Well-Being)
🔹 Ensemble ML/DL Pipelines (XGBoost · LightGBM · PyTorch)
🔹 NLP & Transformer Models (HuggingFace · BERT · Emotion AI)
🔹 Custom Model Training & Fine-Tuning
🌐 𝐅𝐔𝐋𝐋-𝐒𝐓𝐀𝐂𝐊 & 𝐒𝐀𝐀𝐒 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐒
🔹 SaaS-Ready AI Web Apps (React · FastAPI · SQLite · Auth)
🔹 Backend API Development (FastAPI · Node.js · REST · WebSocket)
🔹 Frontend Development (React · TypeScript · Tailwind · Framer Motion)
🔹 MLOps Pipeline Setup (MLflow · Docker · AWS)
🤝 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞
If you need an application that’s built to scale, infused with intelligence, and secured for the future, I’m the partner you need. Click “Invite to Job” or shoot me a messag
𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: AI Engineer, LLM Developer, AI Agent, LangChain Developer, RAG Pipeline, Computer Vision Engineer, MLOps Engineer, Python Developer, Generative AI, OpenCV, TensorFlow, PyTorch, GPT-4 Integration, Voice AI, VAPI, ElevenLabs, Workflow Automation, AWS Machine Learning, AI Chatbot, Autonomous Agent
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
I review all client-provided details including data type, volume, annotation guidelines, and desired output format. I confirm scope and ask any clarifying questions before starting.