Raise the infrastructure for servicing models for the CV pipeline.

Budget: 15000 UAH Deadline: 7 days

I will raise the servicing infrastructure on Triton Inference Server or BentoML with Docker Compose or K8s manifests, FastAPI or gRPC for inference endpoints and basic monitoring through Prometheus. Assessment of timelines and costs, from 7 days and 15,000 UAH, but I will provide a more accurate estimate after familiarizing myself with the details. The Notion link is only accessible to authorized users, so you can provide public access or describe: what specific models, expected load, what infrastructure already exists?

Budget: 10000 UAH Deadline: 5 days

Hello! I am Roman, an individual developer with 4 years of experience in Full-stack development and automation, and I will professionally implement your task with Machine Learning Foundation, ensuring the construction of a reliable model and code cleanliness. With a solid mathematical background and experience working with Python, I will carry out the full cycle: from data preprocessing and EDA to model training and result visualization. I work exclusively as a freelancer through FOP, which guarantees direct communication and transparency, and you can familiarize yourself with my approach to technical solution architecture at the following links: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

Budget: 2500 UAH Deadline: 1 day

Hello, Pavel

I can develop and estimate for a certain budget, write to me in private messages.

Have a nice day!

Budget: 27000 UAH Deadline: 9 days

Hello! Do you have examples of data/input files and a sample of the desired result? Also, please let me know if you only need a working prototype with an API, or if you also need a simple web interface/dashboard for testing and monitoring. This will help to more accurately define the scope.

We work with Python (FastAPI/Flask), Postgres/Redis, and React for an easy dashboard. We will set up data collection/cleaning, a basic model, a service for inference with logging and documentation. We have experience in custom dashboards, admin panels, and production APIs.

We are ready to start this week. Preliminary estimate: ~9 days, budget ~1500$. Please write what materials you already have — we will quickly agree on the technical specifications and the first release.