I will build machine learning, deep learning, and nlp models using python
Quant Tradingview MQL4 MQL5 EA NinjaTrader Bot pinescript Ctrader Algo Developer
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.
Expertise:
Feature learning
Programming language:
Python
Frameworks:
Google ML Kit
•
SimpleCV
APIs:
Amazon Rekognition
•
Google Cloud Vision API
Tools:
Excel
