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API Development for AI Video Platform

Services Covered:

API Development • Custom Software Development
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Industry
Industry

Media

Duration
Duration

6 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 July 2024

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Talentelgia Technologies 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

Clik

mapNew York City, United States of America

Project Summary

Talentelgia Technologies provided full-stack development for an AI video platform, focusing on backend and API work. They designed and deployed a serverless video processing pipeline using AWS (S3, Lambda, CloudFront), developed RESTful APIs with Node.js and Express.js, and implemented monitoring with Prometheus and Grafana. The team deployed the pipeline to staging and production, improved upload and transcoding workflows, and completed the engagement on time with responsive communication.

Key Challenges

  • Assist with the development of the core product

Project Deliverables

  • Serverless video processing pipeline
  • Production-ready RESTful APIs
  • Monitoring and alerting stack (Prometheus and Grafana)
  • Knowledge transfer sessions and documentation

Project Solution

A single full-stack developer (Vikram) implemented backend and API functionality, designed and deployed a serverless video processing pipeline on AWS (S3, Lambda, CloudFront) to support large-scale uploads, transcoding, and delivery, developed RESTful APIs with Express.js/Node.js for uploads, metadata, and user interactions, and set up a Prometheus/Grafana monitoring and alerting stack. Deliverables included the serverless pipeline, production-ready APIs, monitoring and alerting, and knowledge-transfer documentation and sessions.

Project Outcome

  • A serverless video processing pipeline deployed to staging and production enabling efficient uploads and automated transcoding
  • APIs that improved application functionality and performance for video uploads, metadata management, and user interactions
  • A monitoring and alerting system (Prometheus and Grafana) that improved visibility and system reliability
  • Documentation and knowledge-transfer sessions that enabled the internal team to maintain and build on the work

Platforms

  • CloudCloud
  • WebWeb

Tech Stack

  • Node.jsNode.js
  • Express.jsExpress.js
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • S3S3
  • AWS LambdaAWS Lambda
  • Amazon CloudFrontAmazon CloudFront
  • PrometheusPrometheus
  • GrafanaGrafana

Client Endorsement

Overall Review Rating

4.38star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Talentelgia Technologies' work allowed efficient video uploads and automated transcoding. The team was responsive and punctual, and they completed the project on time. Moreover, the team was flexible in responding to feedback and communicated well. Overall, the team's professionalism stood out.”

Anonymous

Executive

Note: This endorsement is based on publicly available client feedback from external review sources.

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View Project Details