You will get High-Performance Object Detection using YOLOv11
Project details
High-speed visual intelligence for your hardware.
I train custom YOLOv11 object detection models optimized for real-world deployment on edge devices like NVIDIA Jetson, Raspberry Pi, and industrial PCs. As an engineer, I focus on the "field performance" of a model—ensuring it is fast, accurate, and deployment-ready.
What sets this project apart:
Most providers deliver "black box" models that are bulky and slow. I deliver a tuned, quantized, and benchmarked vision pipeline. I leverage advanced data augmentation and hyperparameter optimization to achieve high mAP (Mean Average Precision) even with specialized or small datasets.
Performance First:
I don't just stop at training. I provide full optimization for your specific hardware using TensorRT, OpenVINO, or ONNX. This ensures your system hits maximum FPS without losing accuracy. Whether you are building an industrial inspection system, an autonomous robot, or a smart security suite, I deliver Computer Vision engineered to scale.
I train custom YOLOv11 object detection models optimized for real-world deployment on edge devices like NVIDIA Jetson, Raspberry Pi, and industrial PCs. As an engineer, I focus on the "field performance" of a model—ensuring it is fast, accurate, and deployment-ready.
What sets this project apart:
Most providers deliver "black box" models that are bulky and slow. I deliver a tuned, quantized, and benchmarked vision pipeline. I leverage advanced data augmentation and hyperparameter optimization to achieve high mAP (Mean Average Precision) even with specialized or small datasets.
Performance First:
I don't just stop at training. I provide full optimization for your specific hardware using TensorRT, OpenVINO, or ONNX. This ensures your system hits maximum FPS without losing accuracy. Whether you are building an industrial inspection system, an autonomous robot, or a smart security suite, I deliver Computer Vision engineered to scale.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
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He was professional, communicative, and delivered everything on time. I especially appreciated his proactive approach and attention to performance and scalability.
Highly recommend Umair for any AI voice or chatbot projects — I’d definitely work with him again.
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About Umair
Senior AI/ML Engineer | Computer Vision | LLMs, RAG & AI Agents
90%
Job Success
Daska, Pakistan - 1:57 pm local time
With extensive experience delivering end-to-end AI solutions, I help startups, enterprises, and research teams build intelligent systems that create real business impact. I do not just build fragile models that only work in research notebooks. I architect scalable, high-performance AI software optimized for the cloud, edge devices, and real-world constraints.
Whether you need a sophisticated LLM chatbot, a low-latency computer vision pipeline, or automated agentic workflows, I own the full lifecycle from data preparation and model training to MLOps and cloud deployment.
🧩 Core Expertise & What I Deliver:
💬 Generative AI, LLMs & AI Agents
🔹 Custom AI agents, intelligent assistants, and autonomous workflows.
🔹 Enterprise-grade RAG (Retrieval-Augmented Generation) & Multimodal RAG pipelines.
🔹 LLM fine-tuning (LoRA, PEFT) and prompt engineering for cost-efficiency.
🔹 Integration of Vector Databases (Pinecone, ChromaDB, FAISS) for private enterprise search.
👁️ Computer Vision & Deep Learning
🔹 Real-time Object Detection, Tracking, and Segmentation (YOLO variants, Detectron2).
🔹 OCR and automated Document AI (invoice/receipt extraction, identity verification).
🔹 High-performance vision systems for industrial automation, surveillance, and healthcare.
🔹 Edge AI acceleration & inference optimization (TensorRT, ONNX, CUDA, NVIDIA Jetson).
🧠 Machine Learning & NLP
🔹 Predictive modeling, time-series forecasting, and anomaly detection.
🔹 Text classification, sentiment analysis, NER, and semantic similarity.
🔹 Audio AI, Speech-to-Text (Whisper), and TTS integrations.
☁️ MLOps & Production Deployment
🔹 Translating prototypes into scalable, cloud-native deployments.
🔹 Containerization and API development (Docker, FastAPI, Flask).
🔹 Model monitoring, CI/CD pipelines, and robust AI infrastructure.
🛠️ Technical Stack:
🔹AI/ML Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost, Hugging Face
🔹Computer Vision: OpenCV, YOLOv8/11, MediaPipe, Pillow, Scikit-Image
🔹LLM & NLP: LangChain, LLaMA, OpenAI (GPT-4), NLTK, Transformers
🔹Languages: Python, C++, JavaScript, SQL
🔹Cloud & MLOps: AWS, GCP, Azure, Docker, Kubernetes, MLflow, Git/GitHub Actions
🔹Databases: PostgreSQL, MongoDB, MySQL, Milvus, Qdrant
🎯 Why Work With Me?
I combine deep technical research capabilities with hands-on product delivery. My focus is always on solutions that are robust, explainable, and directly tied to your business KPIs.
Let’s discuss how we can bring your AI, computer vision, or automation project to life. Click "Invite to Job" to get started!
Steps for completing your project
After purchasing the project, send requirements so Umair can start the project.
Delivery time starts when Umair receives requirements from you.
Umair works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Audit & Pre-processing
I verify your labeled data for consistency, perform image normalization, and apply domain-specific data augmentation (noise, blur, or color jitter) to ensure model robustness in varied lighting conditions.
Training & Hyperparameter Tuning
I train the YOLOv11 architecture (Nano to Large) using transfer learning. I tune parameters like learning rate, batch size, and weight decay to achieve the best possible convergence and accuracy.