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Smart Vision, Smarter Solutions
Informazioni su questo servizio
Hi, I'm Jack a Data Science and AI Engineer with 4+ years of hands on experience delivering powerful machine learning and deep learning solutions. I design, train, and fine tune advanced neural networks and AI models for NLP, computer vision, signal processing, and beyond.
I work extensively with Hugging Face Transformers, BERT, GPT, LLaMA, Falcon, and other cutting edge frameworks customizing them to your projects exact needs. From data preprocessing to deployment, I provide complete, end to end AI solutions focused on performance, scalability, and precision.
My Services Include:
- Machine Learning (Supervised & Unsupervised)
- NLP, Sentiment Analysis, Text Classification, NER
- Computer Vision, OCR, Object Detection, Face Recognition
- Neural Networks (CNN, RNN, LSTM, GNN, GAN)
- Hugging Face Model Fine-Tuning
- Generative AI Development
- Flask APIs, Deployment & Optimization
- Data Cleaning, Analysis & Visualization
Tools & Frameworks: Python, TensorFlow, PyTorch, Hugging Face, Flask
Lets transform your AI vision into powerful, scalable, and intelligent solutions built for real world impact!
Linguaggio di programmazione:
Python
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R
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MATLAB
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SQL
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Colab
Framework:
Scikit-learn
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DeepPy
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Google ML Kit
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SimpleCV
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keras
FAQ
What type of AI and machine learning projects do you handle?
I work on a wide range of projects including machine learning, deep learning, NLP, computer vision, generative AI, and model fine-tuning using frameworks like TensorFlow, PyTorch, and Hugging Face.
Can you fine-tune existing models like GPT, BERT, or LLaMA?
Yes. I specialize in fine-tuning Hugging Face models such as BERT, GPT, LLaMA, Falcon, and other transformer-based architectures based on your specific dataset and project goals.
Do you provide complete end-to-end AI solutions?
Absolutely. I handle everything from data cleaning and preprocessing to model training, evaluation, deployment, and API integration.
Can you deploy AI models into real applications?
Yes. I can deploy trained models using Flask APIs and optimize them for performance, scalability, and real-world usage.
What information do you need to get started?
To begin, I’ll need a clear project description, your dataset (if available), expected output, and any specific requirements or performance goals.

