I will do machine learning, deep learning, data science projects
Full Stack AI Engineer
Informazioni su questo servizio
I'm an AI Engineer with 3+ year of production experience, specializing in Machine Learning, Deep Learning, Computer Vision, and AI automation all built in Python.
Whether you need a real-time object detection pipeline (YOLOv8, Faster-RCNN), an image segmentation system (Mask-RCNN, U-Net, SAM2), or a full LLM-powered RAG chatbot (LangChain, GPT-4), I've shipped it in production.
What I bring to your project:
- Computer Vision object detection, tracking (OC-SORT, ByteTrack, BOT-SORT), segmentation, facial recognition (DeepFace, FaceNet), pose estimation, OCR (PaddleOCR, Tesseract), depth estimation, and inpainting (LaMa)
- Machine Learning & Deep Learning classification, clustering, time-series forecasting (LSTM, Transformers), GANs, image captioning, and embedding analysis
- AI / LLM Engineering RAG pipelines, fine-tuning (LoRA/LLaMA), multi-agent systems (crewAI), and voice AI (Pipecat, Vapi)
- Image Processing OpenCV, CNN-based pipelines, preprocessing, augmentation, and optimization for edge devices (Jetson, Raspberry Pi)
- Deployment REST APIs with FastAPI/Flask, Docker, AWS, edge inference, and model optimization (ONNX, pruning)
Contact before placing order!!!
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
Il mio portfolio
Altri servizi della categoria Data science e ML offerti da me
FAQ
What kind of machine learning and deep learning projects can you handle in Python?
I can handle a wide range of machine learning and deep learning projects in Python, including predictive modeling, customer segmentation, image processing, sentiment analysis, text classification, and data science solutions using TensorFlow, PyTorch, and Scikit-learn.
Do you provide end to end data science and AI solutions?
Yes, I provide complete end to end data science and AI solutions in Python, from raw data cleaning and exploratory data analysis to building, training, and deploying machine learning and deep learning models.
Which Python libraries and AI frameworks do you use for machine learning projects?
I use industry leading Python libraries and AI frameworks including TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, NumPy, Pandas, Matplotlib, and Seaborn for all machine learning, deep learning, and data science projects.
Can you build custom machine learning models for my specific data science problem?
Yes, every machine learning and deep learning solution I build in Python is fully custom. I analyze your data science requirements and deliver a tailored AI model that solves your specific problem accurately and efficiently.
How long does it take to complete a machine learning or deep learning project?
Delivery time depends on the complexity of the machine learning or deep learning project. Simple data science tasks in Python are delivered within 2 to 3 days, while more advanced AI and machine learning solutions may take 5 to 7 days.

