I will deploy your ml model to production with docker, AWS, fastapi, and ci cd pipeline

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Pakistan

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SENIOR FULL STACK AI ENGINEER

I'm a full-stack developer specializing in DevOps deployment and version control, with hands-on experience deploying websites and applications to Vercel, managing GitHub repositories, and handling com...

Niveau 2

Voldoet aan hoge prestatiecriteria en heeft een bewezen staat van dienst in het voldoen aan de verwachtingen van de klant.

Over deze dienst

Trained your ML model but stuck getting it live and reliable? I turn your trained model into a production API with monitoring, CI/CD, and cloud deployment so it scales without breaking.


What I deliver:

       FastAPI or Flask REST API wrapping your trained model

       Dockerized service clean, portable, reproducible

       Cloud deployment AWS (EC2, SageMaker, Lambda) or Railway/GCP

       CI/CD pipeline with GitHub Actions auto-deploy on push

       Monitoring setup CloudWatch, Prometheus + Grafana, or Evidently AI

       Input validation, error handling, logging, and health checks

       Load testing and performance optimization


Why me: Most ML engineers can train models. Few can ship them reliably. I specialize in the train-to-production gap clean APIs, automated pipelines, and infrastructure that doesn't wake you up at 3am. Level 2 seller with production MLOps experience on AWS.

Expertise:

Afbeeldingenverwerking

ranking

Software development

Programmeertaal:

Python

R

SQL

MLflow

Amazon SageMaker

Frameworks:

Scikit-learn

Google ML Kit

keras

PyTorch

Panda

API's:

Microsoft Computer Vision AI

Amazon Rekognition

Tools:

Jupyter-notitieboek

opencv

tensorflow

MLflow

Mijn portfolio