You will get production-ready Computer Vision or Deep Learning AI system
Project details
You will get a research-backed, production-ready AI system built
by an ML engineer with 5+ years of experience and published research.
I don't just train models — I deliver complete, deployed solutions.
Whether you need a Computer Vision system for real-time detection,
an NLP pipeline for text understanding, a Generative AI integration,
or a Time Series forecasting model — I build it end-to-end and ship
it to production.
Every project starts with a written implementation plan so you always
know what's being built, why, and when it ships. I use PyTorch,
TensorFlow, FastAPI, HuggingFace, OpenCV, MLflow, and Docker to
deliver clean, documented, scalable systems — not just notebooks.
My published research in Computer Vision and Deep Learning means I
bring both academic rigor and real engineering to every engagement.
Past projects span healthcare AI, retail analytics, NLP systems, and
predictive ML pipelines deployed on AWS and Azure.
by an ML engineer with 5+ years of experience and published research.
I don't just train models — I deliver complete, deployed solutions.
Whether you need a Computer Vision system for real-time detection,
an NLP pipeline for text understanding, a Generative AI integration,
or a Time Series forecasting model — I build it end-to-end and ship
it to production.
Every project starts with a written implementation plan so you always
know what's being built, why, and when it ships. I use PyTorch,
TensorFlow, FastAPI, HuggingFace, OpenCV, MLflow, and Docker to
deliver clean, documented, scalable systems — not just notebooks.
My published research in Computer Vision and Deep Learning means I
bring both academic rigor and real engineering to every engagement.
Past projects span healthcare AI, retail analytics, NLP systems, and
predictive ML pipelines deployed on AWS and Azure.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Apache MXNet, Azure Machine Learning, deeplearn.js, Google AutoML, MATLAB, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$290
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
About Abd Ur
Machine Learning Engineer | Research Engineer | DL, CV & NLP
Lahore, Pakistan - 9:50 pm local time
I build research-grade AI that actually runs in production. Whether you need a Computer Vision system processing thousands of frames in real-time, an NLP pipeline understanding your domain-specific data, or a Generative AI solution wired into your product I've designed it, published on it, and deployed it.
━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ━━━
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
🔹 Real-time detection & tracking with YOLO, OpenCV, PyTorch
🔹 Medical imaging, anomaly detection & activity recognition
🔹 Custom CNN/Transformer architectures from scratch
🔹 Video analytics & vision pipelines at production scale
𝐍𝐋𝐏 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈
🔹 Fine-tuned LLMs & domain-adapted Transformer models
🔹 RAG pipelines over custom knowledge bases
🔹 Sentiment analysis, text classification & Emotion AI
🔹 HuggingFace · BERT · GPT pipelines in production
𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐋
🔹 Forecasting & anomaly detection on sequential data
🔹 Healthcare risk prediction (sepsis, patient outcomes)
🔹 Ensemble pipelines — XGBoost · LightGBM · PyTorch
🔹 Explainable AI with SHAP, LIME & Grad-CAM
𝐌𝐋𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
🔹 End-to-end pipelines with MLflow, DVC, Docker
🔹 FastAPI-served models on AWS / Azure
🔹 CI/CD for ML systems with 99%+ uptime
🔹 Clean code, documentation & handoff — not just notebooks
━━━ 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 ━━━
✔ Published multiple peer-reviewed research papers — applied directly to production systems
✔ Deployed CV pipelines in healthcare and retail domains at scale
✔ Built end-to-end ML systems from data preprocessing to live FastAPI endpoints
✔ Delivered across 5+ years with zero missed domains CV, NLP, GenAI, Time Series
━━━ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ━━━
Most ML engineers hand you a trained model. I hand you a deployed system — with clean architecture, documentation, and a clear path to scale.
I also bring something most engineers can't: published research. That means every solution I build is grounded in what actually works, not just what's trending on GitHub.
📋 Every project starts with a written implementation plan
🔁 Regular progress updates at every milestone
⚡ Fast communication — I treat your timeline like my own
🤝 Built for long-term reliability, not one-off handoffs
━━━ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 ━━━
👁️ 𝗖𝗢𝗠𝗣𝗨𝗧𝗘𝗥 𝗩𝗜𝗦𝗜𝗢𝗡
🔹 Real-time object detection & tracking (YOLOv8/v11 · OpenCV)
🔹 Medical image analysis & diagnostic AI
🔹 Activity recognition & video surveillance systems
🔹 Custom model training & transfer learning
🧠 𝗡𝗟𝗣 & 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗩𝗘 𝗔𝗜
🔹 RAG systems & LLM fine-tuning for domain-specific use cases
🔹 Emotion AI, sentiment & text classification pipelines
🔹 Transformer model development (BERT · GPT · HuggingFace)
🔹 Conversational AI & document intelligence
📈 𝗠𝗟 & 𝗣𝗥𝗘𝗗𝗜𝗖𝗧𝗜𝗩𝗘 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦
🔹 Time series forecasting & anomaly detection
🔹 Healthcare AI — risk prediction & clinical decision support
🔹 Explainable AI (XAI) with SHAP, LIME & Grad-CAM
🔹 Ensemble ML/DL pipelines (XGBoost · LightGBM · PyTorch)
🚀 𝗠𝗟𝗢𝗣𝗦 & 𝗗𝗘𝗣𝗟𝗢𝗬𝗠𝗘𝗡𝗧
🔹 FastAPI model serving & REST API development
🔹 MLflow · Docker · AWS / Azure production pipelines
🔹 End-to-end system delivery with full documentation
🔹 Research paper to production — the full journey
Steps for completing your project
After purchasing the project, send requirements so Abd Ur can start the project.
Delivery time starts when Abd Ur receives requirements from you.
Abd Ur works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Implementation Plan
I review your requirements, ask clarifying questions, and send you a detailed written plan covering approach, tools, timeline, and expected outputs before writing a single line of code.
Data Analysis & Preprocessing
I audit your dataset, handle cleaning, augmentation, and feature engineering to ensure the model trains on high-quality, well-structured data.