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Client name: Private
Nation: Private
Private
Web Application
Private
Private
Decoupled upload system with asynchronous processing: Implement a queue-based upload system using AWS S3 and Lambda to store files and trigger processing asynchronously.
Batch processing and page limitation: Handle documents in batches (e.g., page-by-page processing) or restrict the number of pages per request to maintain performance.
Active learning with feedback loop: Apply an active or continual learning pipeline, storing user annotations in a feedback database and retraining the model in batches with version control.
The project team encountered no technical challenges, including achieving the system’s functional criteria as specified by the SEC, based on prior experience working on other exchange systems. However, the project has to face challenges due to the Cryptocurrency downtrend:
Financial Impact of Cryptocurrency Downtrend
Risk of Uncertain Market Conditions
Balancing Project Quality and operational Cost
Managing Stakeholder Expectations
Ensure legal protection for users set by the Securities and Exchange Commission (SEC)
The way we save cost and optimize quality for this project:
Leverage our experience from previous AI and data-related projects to accelerate development while maintaining high quality.
Optimize AI Agent workflows and data processing to reduce resource consumption and improve overall system performance.
With the current capabilities of AI in assisting various tasks, applying AI to tasks such as UI design, testcase review, and source code review has helped the project team save a significant amount of time and effort.
Using SonarQube for automated code review helps save costs associated with manual code review and ensures the quality of the source code.Â
Each project involves both experienced and new team members. Although all team members receive training before joining the project, it is not possible to cover the entire system comprehensively. Therefore, to accelerate project progress and ensure the highest quality, it is essential to assign experienced individuals to tasks that require expertise in a specific domain. For example, when developing a Mobile App, experienced individuals can handle API integration for screens with complex logic, while newcomers can focus on UI development, requiring little or no experience in Crypto Exchange.
It may seem difficult to persuade, but usingthird-party services can save more money than handling a service internally. For instance, by using a third-party service for Slider Captcha (a service provided by a dedicated team), the project can save costs compared to implementing and maintaining a separate service. Based on the company's experience and project team's expertise, they have identified third-party providers with the best cost-effectiveness, stable service quality, and sustainability.
Each error results in a series of related actions, such as logging bugs, fixing and retesting, reporting, and capturing evidence. By ensuring strict quality processes within the company, the project team has minimized the occurrence of errors, reduced rework time and saving costs.
With their own experience and a team of experienced consultants, the project's technical and business implementations are streamlined and accurate, minimizing costs, time, and resources. For a large-scale project, even a single incorrect business or technical approach can lead to a cascade of issues. By forecasting and providing appropriate solutions based on previous project experiences, this project ensures the highest quality while maintaining reasonable and cost-effective measures.
The project exceeded expectations and was successfully delivered within 2 months. In addition to developing the AI Agent for Personal Data Audit as required, we also provided valuable recommendations and support throughout the project, including optimizing the audit process, improving data analysis accuracy, and suggesting practical solutions to enhance the overall system’s performance and usability.
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