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Work Background
FactoremAlgorithm Engineer
Nov. 2023Singapore• Innovatively developed and implemented an automated system for detecting defects in 3D models, enhancing
accuracy by 75% compared to previous solutions.
• Created a state-of-the-art technical drawing extractor, improving operational efficiency by 30%.
• Responsible for designing and standardizing testing documentation and validation forms, ensuring consistency
and reliability in testing protocols.
• Successfully reduced overall technical drawing extraction costs by 60%.
Jatis Mobile, PT. Informasi Teknologi IndonesiaMachine Learning Engineer
Sep. 2022 - Dec. 2023Jakarta, Indonesia• Orchestrated cross-functional collaboration with teams from various business domains to develop and deploy AI solutions, driving process optimizations and achieving a 25% reduction in operational costs.
• Designed and launched an AI chatbot using the Rasa framework, streamlining customer interactions and improving operational efficiency, leading to a 35% reduction in average handling time and a 15% increase in conversion rates.
• Architected and deployed a custom connector powered by a RabbitMQ, enabling flawless integration of the AI chatbot with WhatsApp, leading to a 40% surge in customer engagement and a 25% drop in support incidents.
• Demonstrated proficiency in data science by analyzing vast datasets, deriving actionable insights, and developing predictive models that informed strategic decisions.
• Expanded the company's capabilities in Natural Language Processing (NLP) and computer vision, leading to the creation of more sophisticated and targeted AI solutions.
• Engineered a custom machine learning solution to optimize product search functionality, reducing average search time by 50% and improving customer satisfaction scores by 30%.
Jatis Mobile, PT. Informasi Teknologi IndonesiaMachine Learning Engineer
Jun. 2022 - Aug. 2022Jakarta, Indonesia• Collaborated with senior ML engineers to pioneer, design, and deploy cutting-edge chatbot models; optimized for 30% higher accuracy and 40% improved performance.
• Regularly tested the chatbot's responses against a curated dataset to measure the accuracy, precision, recall, and overall user satisfaction.
• Iteratively refined the chatbot post-demos based on client feedback, ensuring alignment with the client vision and objectives.
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