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Fiverr Pro
English
$
USD
I will build machine learning, deep learning, and nlp models using python
About this Gig
Most ML models never make it to production.
I build ones that do.
With 4+ years of production AI/ML experience, I deliver clean, tested, deployment-ready machine learning and NLP systems not notebooks that only work on my machine.
What I build:
NLP Systems: Sentiment analysis, text classification, NER, summarization, topic modeling
ML Models: Classification, regression, clustering, forecasting with scikit-learn and XGBoost
Deep Learning: CNNs, RNNs, Transformers (BERT, GPT-2, T5) using PyTorch and TensorFlow
Computer Vision: Image classification, object detection (YOLO, ResNet)
Production Pipelines: FastAPI/Flask APIs, Docker, AWS SageMaker, MLflow tracking
Tech stack:
Python · PyTorch · TensorFlow · scikit-learn · HuggingFace · SpaCy · NLTK
FastAPI · Flask · Docker · AWS (SageMaker, EC2, S3) · MLflow · Pandas · NumPy
Every delivery includes:
Clean, commented Python code
Model evaluation report (accuracy, F1, confusion matrix)
README with setup and usage instructions
Ready-to-deploy API wrapper on Standard and Premium
Message me before ordering I'll scope your project for free.
My Portfolio
FAQ
What type of ML problems can you solve?
Classification, regression, clustering, NLP (sentiment, text classification, NER), computer vision, and time series forecasting.
Do you provide the source code?
Yes, all packages include clean, documented Python source code with a README.
Can you deploy the model to AWS?
Yes, AWS SageMaker and EC2 deployment is included in the Premium package and available as an extra add-on.
What data do I need to provide?
Your dataset in any common format (CSV, JSON, Excel). If you don't have data I can help with synthetic data generation.
How do you measure model performance?
I provide a full evaluation report including accuracy, F1 score, confusion matrix, and ROC curve where applicable.
