You will get a production-ready AI/ML model deployment that scales reliably
Project details
I’ll take your existing ML/AI model and turn it into a production-ready inference service that your applications can reliably use.
Depending on the deployment, this can include containerization, REST/gRPC APIs, CPU or GPU infrastructure, autoscaling, health checks, monitoring, logging, CI/CD, and performance tuning.
The goal is not simply to get the model running in the cloud. It’s to build a deployment that is repeatable, observable, appropriately sized for the workload, and ready for real traffic.
I can work with traditional ML models, deep-learning workloads, computer vision, embeddings, and self-hosted LLMs across managed cloud services, Kubernetes, or custom infrastructure.
Depending on the deployment, this can include containerization, REST/gRPC APIs, CPU or GPU infrastructure, autoscaling, health checks, monitoring, logging, CI/CD, and performance tuning.
The goal is not simply to get the model running in the cloud. It’s to build a deployment that is repeatable, observable, appropriately sized for the workload, and ready for real traffic.
I can work with traditional ML models, deep-learning workloads, computer vision, embeddings, and self-hosted LLMs across managed cloud services, Kubernetes, or custom infrastructure.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, ChatGPT, GPT-3, Keras, Kubeflow, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
14 reviews
(14)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
NR
Nina R.
Sep 13, 2023
You will get a professional API development and integration
I had an outstanding experience working with Houssem. He did an excellent job implementing the API for my project. His technical skills and attention to detail were impressive. What stood out even more was his exceptional communication throughout the project. He was responsive, proactive, and kept me updated at every step. I highly recommend Houssem and look forward to working with them again in the future.
Thank you for your outstanding work!
Thank you for your outstanding work!
DS
Daniel S.
Aug 16, 2023
Add Sage destination to Event.dev - HIRING ASAP!
MV
Mila V.
May 12, 2023
R&D for Event.dev, 3 connections - HIRING ASAP!
Thank you, Houssem. Great work as always!
MV
Mila V.
May 1, 2023
Add Kafka destination to Event.dev - HIRING ASAP!
Incredible work, as always.
MV
Mila V.
Apr 6, 2023
R&D for Event.dev - HIRING ASAP!
Always great working with you, Houssem!
About Houssem Eddine
Software Engineer | High-Scale APIs, Cloud & Distributed Systems
Sétif, Algeria - 4:16 pm local time
I’m a Software Engineer with 7+ years of experience working on high-scale APIs, distributed systems, cloud infrastructure, and data-intensive backends using Go, Python, Node.js/TypeScript, PostgreSQL, AWS/GCP, and Kubernetes.
I can help with:
• Designing and building backend APIs and services
• Diagnosing slow endpoints, database bottlenecks, and production performance issues
• Scaling databases and data-heavy applications
• Designing microservices, async workflows, and distributed systems
• Building and improving cloud/Kubernetes infrastructure
• Taking systems from architecture through deployment, observability, and production
I’m used to owning work beyond implementation. I’m comfortable making architecture decisions, working through trade-offs, shipping the system, monitoring how it behaves in production, and fixing what doesn’t hold up once real traffic and data hit it.
Core stack: Go, Python, Node.js/TypeScript, PostgreSQL, Redis, Docker, Kubernetes, Terraform, AWS, GCP.
Steps for completing your project
After purchasing the project, send requirements so Houssem Eddine can start the project.
Delivery time starts when Houssem Eddine receives requirements from you.
Houssem Eddine works on your project following the steps below.
Revisions may occur after the delivery date.
Review the model and deployment requirements
I’ll verify how the model runs, what it needs at inference time, and the workload the deployment needs to support.
Package the inference workload
I’ll prepare a reproducible serving environment with the model, runtime dependencies, and inference interface.