Viadaciy User

Conducted rigorous data collection, preprocessing, and accuracy validation for multilingual AI models, ensuring high accuracy in domain-specific applications. Partnered with global teams to train and evaluate bilingual models, identifying and resolving data quality issues to mitigate risks.

Assisted the project manager in coordinating the daily work of the R&D team, ensuring timely project completion using Confluence and Jira. Prepared and maintained project-related documentation, acting as a communication bridge within and outside the team.

Conducted comprehensive market research and collected user feedback to identify client requirements and potential risks. Developed tailored writing plans with a focus on accuracy and regulatory alignment, ensuring deliverables met strict quality and compliance standards.

Created a large-scale CAR dataset from driving data using Makes Sense.AI tools and applied the YOLOv5 object detection algorithm for training, testing, and validation. Conducted distance analysis using monocular camera calibration algorithms and combined YOLOv5 and DeepSORT for multi-object tracking and speed analysis.

Developed a financial management and academic administration system using Visual Studio 2019, SQL Server 2019, and C#. Participated in system requirements analysis, design, code development, debugging, testing, and optimization.