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English
$
USD
I will develop custom machine learning and ai models in python
Hello! I am a software engineer specializing in AI/ML, backend logic, and data architecture. From quick bug fixes to building full-scale systems, I handle engineering projects of all sizes. I offer ba...
About this Gig
I'm Yeshvardhan Jain, a Python developer specializing in Machine Learning and AI. I build custom ML models for classification, regression, NLP, computer vision, and predictive analytics using Scikit-learn, TensorFlow, Keras, and PyTorch.
Whether you need a quick prototype or a production-ready AI system with cloud deployment and API integration, I deliver clean, well-documented, and efficient solutions tailored to your business needs.
Why work with me:
- Strong foundation in data science, ML algorithms, and software engineering
- Experience across the full ML pipeline: research, preprocessing, model building, testing, and deployment
- Clear communication and on-time delivery
- Source code and documentation provided for full transparency
Let's discuss your project and build something great together!
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
TensorFlow
•
MLflow
FAQ
What information do you need from me to get started?
Share your dataset (or a sample), the problem you're solving, and your target outcome. If you don't have data yet, I can help source or generate it. I'll then confirm scope and timeline before we start.
What's included in each package?
Basic covers a single ML model with core preprocessing and evaluation. Standard adds feature engineering, hyperparameter tuning, and a deployment-ready script. Premium includes a full pipeline, API deployment, documentation, and 30 days of support.
Do you offer revisions?
Yes, every package includes revisions so the final model meets your requirements. Extra revision rounds beyond the package limit can be added as a paid extra.
Which tools and frameworks do you use?
I work with Python, TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. For deployment I use Flask/FastAPI, Docker, and cloud platforms like AWS or GCP as needed.
