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English
$
USD
I will develop custom object detection and tracking computer vision models
Production Grade LLMs, FineTuning, Multimodal RAG Systems, Agentic AI
With 3+ years as an AI/ML Engineer, I deliver custom LLM, RAG, and AI Agent solutions.
My Portfolio: https://nabeelshan.vercel.app
I specialize in:
• LLM fine-tuning (PEFT, QLoRA), alignment (RLHF...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Are you tired of developers who deliver messy, hardcoded scripts that crash in production?
I am a specialized AI/ML Engineer focusing on state-of-the-art Computer Vision. I do not just run pre-trained weights; I build robust, scalable, and deployable object detection pipelines tailored for enterprise, startup, or advanced research applications.
WHAT I ENGINEER:
- Custom Object Detection: Fine-tuning modern architectures (YOLOv8/v10, Faster R-CNN) on your specific datasets.
- Robust Object Tracking: Implementing DeepSORT or ByteTrack for real-time video analytics, security, and motion tracking.
- End-to-End Pipelines: Managing everything from data preprocessing and augmentation to model training and inference optimization.
- Core Tech Stack: PyTorch, OpenCV, Python, Cloud and MLOps tools.
WHY HIRE ME?
- Enterprise-Grade Architecture: I apply rigorous software engineering principles to machine learning. You get optimized inference speeds and systems built to scale.
- Production-Ready Standards: I deliver clean, modular, and fully documented code - not just a disconnected Jupyter notebook.
Message me before ordering to discuss your exact dataset and architectural requirements.
Programming language:
Python
•
SQL
•
Colab
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do I need to provide my own dataset for custom model training?
Yes. For custom YOLO models, you must provide a labeled dataset. If you only have raw, unlabeled images, message me before ordering. I will handle the data annotation using tools like CVAT prior to training.
Will you help me integrate the trained model into my app or server?
Basic and Standard tiers deliver the model and inference scripts. If you need production-ready integration, such as a FastAPI backend, AWS endpoint, or a Dockerized container for seamless deployment, you must select the Premium tier.
Can this model run in real-time on a standard CPU or edge device?
YOLO architectures typically require GPU acceleration for high real-time response. However, if your target is edge deployment, message me first so I can optimize the final weights using ONNX or TensorRT for edge inference.
