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I will be your deep learning computer vision and machine learning engineer
AI Machine Learning Automation Engineer
AI and Machine Learning Engineer with 4+ years of experience building intelligent solutions. I specialize in Machine Learning, Deep Learning, Computer Vision, NLP, LLMs, Agentic AI, and AI Automation ...
About this Gig
Are you looking for a reliable Machine Learning solution that can move from data to a working production system?
I build custom Machine Learning, Deep Learning, and Computer Vision solutions designed around your actual project requirements.
What I offer:
Machine Learning: Classification, Regression, Clustering, Prediction & custom ML models
Deep Learning: CNNs, neural networks, model training, optimization & fine-tuning
Computer Vision: Image classification, object detection, image processing & visual AI
Production MLOps: Model deployment, APIs, Dockerized workflows, monitoring & scalable pipelines
Cloud Deployment: Deploy ML solutions to AWS, GCP or Azure when required
What you get:
- Clean and maintainable code
- Data preprocessing & model development
- Model evaluation and optimization
- Source code and documentation
- API integration when required
- Production-focused deployment support
Whether you need an ML model, Deep Learning system, Computer Vision solution, or production-ready ML pipeline, I can help turn your idea into a practical solution.
Please message me before ordering so I can understand your dataset, requirements, and project goals.
My Portfolio
FAQ
Q1. What types of Machine Learning models can you build?
I can build custom Machine Learning solutions for classification, regression, clustering, prediction, and other supervised or unsupervised learning requirements.
Q2. Do you provide Deep Learning services?
Yes. I can develop and optimize Deep Learning models, including CNN-based solutions and other neural network architectures depending on your project requirements.
Q3. Do you work on Computer Vision projects?
Yes. Computer Vision services can include image classification, object detection, image processing and other visual AI applications.
Q4. Can you deploy my Machine Learning model?
Yes. Production deployment is available in the Premium package, including API integration, Dockerized workflows and cloud deployment where appropriate.
Q5. Which cloud platforms do you support?
I can work with cloud environments such as AWS, Google Cloud and Microsoft Azure, depending on the project architecture and deployment requirements.
Q6. Can you integrate the ML model into my application?
Yes. I can expose the model through an API and integrate it into an existing application when the required access and technical information are provided.
Q7. Will I receive the source code?
Yes. Source code is included with the packages according to the selected scope.
Q8. Can you work with my existing Machine Learning model?
Yes. I can review, optimize, debug, improve or prepare an existing model for deployment, depending on its current architecture and codebase.
Q9. Do you work with custom datasets?
Yes. I can work with your dataset and handle the required preprocessing, feature preparation, training and evaluation as part of the agreed project scope.
Q10. Should I contact you before placing an order?
Yes. Please contact me before ordering, especially for complex Machine Learning, Computer Vision or production/MLOps projects. This allows me to review your requirements and recommend the correct package.
