I will build and deploy deep learning cloud apis
Professional
About this Gig
This is the description for Gig 4 (Deep Learning & MLOps). It is optimized to be professional, keyword-rich for the 2026 algorithm, and fits within the 1,200-character limit.
Gig Description
Welcome! I am a Data Scientist and Machine Learning Engineer with an MSc in Artificial Intelligence. I specialize in moving AI models out of notebooks and into real-world production environments.
Do you have a complex Deep Learning model that is stuck in a Jupyter Notebook? Whether you need a custom Computer Vision (CNN) model or a high-performance Production Inference API to serve your AI to a web or mobile app, I provide the engineering expertise to make it happen.
What I Offer:
- Production Inference APIs: I transform your trained models (.h5, .pth, .pkl) into robust, scalable REST APIs using FastAPI.
- Custom Deep Learning: End-to-end development of neural networks for image classification, object detection, and pattern recognition.
- MLOps & Deployment: I dockerize your application and deploy it to Google Cloud (GCP) or AWS for secure, global access.
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
TensorFlow
