endorsedOngoing

Extended Dev Team & Cloud-Deployable AI Platform Support

Services Covered:

Staff Augmentation • Custom Software Development • Cloud Consulting and Services • AI and Machine Learning

Industry

Education

Duration

53 months

Budget

50K - 199K

Start Date

1 March 2022

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

71/100

Good

Project Capability Score (PCS) estimates how capable UBSLogic is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

NobleProg

New York City, United States of America

Project Summary

UBSLogic supplied an extended development team to a training and consultancy group (NobleProg) to support AI and data-centric projects. The team provided Python backend expertise (Django, Flask), implemented user access and notification systems, containerized the applications, and enabled flexible deployment across public cloud, VPC, or data center. The client increased the team from 3 to 5 engineers and reported strong responsiveness and deployment flexibility.

Key Challenges

Difficulty finding qualified IT resources for B2B AI projects
Need to hire 3 Fullstack Engineers for a 1-year engagement to enable data upload, examination and interaction
Deliver tools and platform guidance to turn use cases into deployable, trustworthy AI models while meeting ethical/regulatory expectations

Project Deliverables

Extended development team (initially 3 Fullstack Engineers, later 5)
Backend services built with Python frameworks (Django, Flask)
User access and permission management (Single Sign-On, OAuth)
Server-side notifications (Websocket)
Containerized applications and orchestration (Docker, Kubernetes)
Cloud-deployable solution (AWS, GCP, Azure)

Project Solution

UBSLogic assembled an extended remote development team (initially 3 Fullstack Engineers) with expertise in Python backend frameworks (Django, Flask) and frontend JavaScript/TypeScript. They implemented user access/permission management (SSO, OAuth), server-side notifications (Websocket), version control and CI tooling, containerized the applications (Docker) with orchestration, and enabled deployment to AWS, GCP, Azure or on-premises data centers.

Project Outcome

Solution became deployable to public cloud, virtual private cloud, or on-premises data centers
Enabled analysis and building of several well-performing ML models in two months
Increased the engineering team from 3 to 5 engineers

Platforms

Cloud

Tech Stack

Python
Django
Flask
REST API
JavaScript
TypeScript
C
C++
Java
Amazon Web Services (AWS)
Azure
Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“UBSLogic has enabled the installation of the solution anywhere — whether in a public cloud, virtual private cloud, or in a data center. Because of their dedication, the client has increased the team to five engineers. Moreover, their quick responses and availability make them a go-to partner.”
Anonymous
Head of Marketing
Date: 09/17/2022