Used React.js, CSS, Material UI, PostgreSQL, and Express.js, to build the internal machine translation(MT) platform that connected to both the internal proprietary and third party MT engines, calculated BLEU and PED score for engine evaluation, and had the ability for engine training.
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Ensured smooth operation of internal MT platform through troubleshooting and debugging.
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Utilized Regex to improve MT engine quality through incorporating client feedback.
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Raised MT usage from less than 10% to over 70% for overall content that the organization processed in 2020.
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Leveraged Tableau to critically analyze MT data and monitor trend for profitability and quality.
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Standardized and streamlined machine translation processes for production teams, and authored documentation utilizing Confluence
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Onboarded and maintained MT programs with clients, MT Program Managers and Production teams.
Harnessed the proxy-based website localization approach to work with engineers, sales, and production teams to provide the best solution to the client.
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Utilized AGILE development best practices to modularize requirements and priorities to ensure on-time, on-budget, and quality project delivery.
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Conducted manual testing following test plans to ensure product quality.
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Leveraged SVN for proper version control and JIRA for triaging tickets for bug-fixing.
