endorsedCompletedIT Staff Augmentation & Python Backend Development for Talent Development Platform
Services Covered:
Industry
Education
Duration
2 months
Budget
Confidential
Start Date
1 January 2024
Team Size
1-5 Employees
Engagement Model
Onshore
Project Capability Score (PCS)
78/100
Good
Project Capability Score (PCS) estimates how capable Antino Labs 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
EdMyst
IndiaProject Summary
Antino Labs provided IT staff augmentation and a Python backend specialist to assist a talent development platform (EdMyst) with backend technology development. The vendor delivered high-quality work on time, responded promptly to requests, and resolved issues quickly while communicating via virtual meetings. The client noted strong customer service but suggested the initial discovery of requirements could have been stronger.
Key Challenges
- Technology development
Project Deliverables
- Python backend technology/resource
- Backend development support via staff augmentation
Project Solution
Antino Labs was engaged via referral/community and assigned a small team (2–5). The vendor provided a Python backend specialist to support technology development and backend implementation, operating as staff augmentation to the client's engineering effort.
Project Outcome
- Quality of work met expectations
- Timely delivery of deliverables
- Responsive support and timely issue resolution
- Strong customer service
Platforms
AI/ML Platform
Tech Stack
Python
Client Endorsement
Overall Review Rating
4.75
5 out of 5 stars
5 out of 5 starsTimeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Antino Labs delivered high-quality work within the agreed-upon time frame. Their team responded promptly to the client's needs and resolved issues quickly. They also demonstrated impressive customer service and communicated well via virtual meetings.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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