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I will build and deploy a machine learning model API
FullStack Agentic AI Agentic Systems Design and Automation, MLOps
Full-Stack AI/ML Engineer and Applied Statistician with 10 years across data, ML, and enterprise AI. I build agentic workflows, RAG systems, predictive models, data pipelines, APIs, and internal tools...
About this Gig
Need to turn business data into a tested machine-learning model and usable API?
I will build a bounded predictive-modeling solution using Python and appropriate statistical or machine-learning methods. Standard and Premium can include FastAPI packaging, evaluation, failure handling, and deployment guidance.
Use cases include classification, risk scoring, regression, forecasting baselines, anomaly detection, operational prioritization, and model API development.
Your delivery can include data validation, preprocessing, baselines, feature engineering, model selection, holdout evaluation, error analysis, API contracts, source code, configuration, and documentation.
I am an AI/ML engineer and applied statistician with dual master's degrees and 10 years across data and enterprise AI. I prioritize reproducibility and honest evaluation over inflated accuracy claims.
Packages cover one target and bounded data sources. Labeling, paid platforms, cloud charges, frontend work, regulated validation, and continuous operations are excluded unless added through a custom offer.
Please message me before ordering to confirm data readiness, target, metric, and deployment needs.
Programming language:
Python
•
SQL
•
MLflow
•
Amazon SageMaker
•
Scala
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
Keras
•
PyTorch
My Portfolio
FAQ
Can you guarantee a specific model accuracy?
No. Performance depends on data quality, signal, target definition, leakage, sample size, class balance, and deployment conditions. I will agree on appropriate evaluation metrics and report results honestly.
What types of models can you build?
I can build classification, regression, forecasting baselines, anomaly-detection approaches, and other bounded predictive systems. The method is selected from the problem and evidence rather than forcing a preferred algorithm.
What data do you need?
You should provide legally usable, representative data with a defined target or outcome, data dictionary, known constraints, and examples of acceptable predictions. A data-readiness review may be required before modeling.
What is included in the FastAPI service?
The API can include typed request/response schemas, model loading, prediction endpoints, input validation, error handling, model-version metadata, setup instructions, and basic tests within the package scope.
Is deployment included?
Standard includes deployment instructions. Premium includes a deployment blueprint and bounded setup when access and infrastructure are suitable. Cloud charges, security certification, and ongoing operations are separate.
Will you provide source code?
Yes. Deliverables follow the selected package and can include notebooks, Python modules, trained artifacts when appropriate, API code, tests, environment files, Docker configuration, evaluation results, and documentation.
Can you work with sensitive or regulated data?
Only after the buyer identifies applicable restrictions and provides an approved environment and process. This Gig does not include legal advice, compliance certification, or unrestricted handling of regulated production data.
What counts as a revision?
A revision corrects delivered work against agreed requirements. A new target, dataset, model objective, application, API feature, or deployment environment is additional scope.
