Internal Web Application Development for Consulting Shop
Services Covered:

Industry
Artificial Intelligence and Machine Learning
Duration
31 months
Budget
200K - 999K
Start Date
1 June 2019
Team Size
1-5
Engagement Model
Offshore
Project Capability Score (PCS)
74/100
Good
Project Capability Score (PCS) estimates how capable JMR 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
Confidential
Project Summary
A consulting shop specializing in machine learning hired JMR Technologies to augment its internal development team and build internal web applications. JMR provided two engineers who worked on frontend and Python backends using Python, Django, AWS, and React, modernizing legacy applications and building new ones. The client reported that processes that used to take days now take hours and praised JMR's commitment and open communication.
Key Challenges
- Needed assistance with software development.
Project Deliverables
- Internal web applications (frontend and Python backend)
- Modernized legacy applications and new applications built from scratch
Project Solution
JMR acted as an embedded contractor, supplying two engineers to augment the client's internal development capabilities. They modernized legacy applications and built new internal web applications from frontend to Python backend, applying best practices for architecture and design. The engagement used technologies including Python, Django, AWS, and React, with collaboration managed via Jira, video calls, and Slack.
Project Outcome
- Reduced processing times from days to hours.
- Improved operational processes and open communication.
Platforms
Cloud
Web
Tech Stack
Python
DjangoAmazon Web Services (AWS)
React.js
Client Endorsement
Overall Review Rating
4.88
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Thanks to JMR Technologies' work, the client has streamlined their processes. They also lead an open communication process to ensure that every issue gets solved. The team also praises their commitment to their product and investment to make it succeed.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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