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I will develop deep learning computer vision applications
AI Engineer, React and Django Full Stack Developer
Hi, I'm Huzaima Aneeq, an AI Engineer and Full Stack Developer specializing in React, Django, Python, and Machine Learning. I build modern, responsive, and scalable web applications with AI integratio...
Über diesen Service
Build Professional Deep Learning & Computer Vision Applications
Are you looking for an experienced Computer Vision Engineer to build AI-powered image processing solutions?
You're in the right place!
I specialize in developing Deep Learning and Computer Vision applications using Python, TensorFlow, PyTorch, OpenCV, YOLO, and CNNs. Whether you need a custom image classification model, object detection system, medical imaging solution, or a complete AI pipeline, I can deliver a scalable and production-ready solution tailored to your requirements.
Services I Offer
Image Classification
Object Detection (YOLO)
Image Segmentation
Face Detection & Recognition
Pose Estimation
OCR & Document Processing
Medical Image Analysis
CNN & Transfer Learning
Custom Deep Learning Models
Dataset Preprocessing & Augmentation
Model Training & Fine-Tuning
Model Testing & Optimization
REST API Development
Cloud Deployment
Source Code & Documentation
Technologies
- Python
- TensorFlow
- PyTorch
- OpenCV
- YOLO
- Keras
- Scikit-learn
- FastAPI
- Flask
- Streamlit
- Django
Why Choose Me?
Production-ready AI solutions
Clean, scalable, and well-documented code
Experience with medical imaging and real-world Computer Vision projects
Fa
Mein Portfolio
Meine weiteren Dienstleistungen im Bereich Datenwissenschaft & ML
FAQ
Q1. What Computer Vision services do you provide?
I develop AI solutions for image classification, object detection, image segmentation, face recognition, OCR, pose estimation, medical image analysis, and custom Deep Learning applications.
Q2. Which frameworks and technologies do you use?
I primarily work with Python, TensorFlow, PyTorch, OpenCV, YOLO, Keras, Scikit-learn, FastAPI, Flask, Streamlit, and Django.
Q3. Can you train a custom model on my dataset?
Yes. I can preprocess your dataset, train a custom model, perform fine-tuning, evaluate its performance, and optimize it for production use.
Q4. Can you improve or fine-tune an existing AI model?
Yes. I can fine-tune existing TensorFlow or PyTorch models, improve accuracy, optimize performance, and integrate them into your application.
Q5. Can you deploy the model?
Yes. I can deploy your Computer Vision model using FastAPI, Flask, Streamlit, Docker, or cloud platforms such as AWS, Azure, Google Cloud, and Hugging Face Spaces.
Q6. Will I receive the complete source code?
Yes. Every project includes clean, well-documented source code along with setup instructions and technical documentation.
