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파드마쿠마르바미
I am passionate about bridging the gap between abstract technology and real-world applications, striving to create solutions that make emerging innovations accessible and impactful.
경력
1. Developed social media conflict simulations using multi-agent Large Language Models (LLMs) from Hugging Face to investigate safety issues, including hate speech and disinformation in social media 2. Engineered persona-based interactions for LLMs to enhance realistic conversation scenarios among agents 3. Fine-tuned LLMs with hate speech data to enhance the models’ ability to simulate realistic social media conflicts to support research on content moderation and red-teaming
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1. Developed social media conflict simulations using multi-agent Large Language Models (LLMs) from Hugging Face to investigate safety issues, including hate speech and disinformation in social media 2. Engineered persona-based interactions for LLMs to enhance realistic conversation scenarios among agents 3. Fine-tuned LLMs with hate speech data to enhance the models’ ability to simulate realistic social media conflicts to support research on content moderation and red-teaming
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1. Conducted data analysis on user behavior and interaction trends with Large-scale Language Models (LLMs) on GPT wrapper applications, revealing insights that improved usability rates 2. Developed an intuitive graphical interface in Figma and implemented React.js components, enhancing user productivity by offering personalized language model interactions
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1. Conducted literature reviews and analyzed research papers related to ChatGPT and natural language processing 2. Analyzed biases, stereotypes, and hallucinations of chatGPT in low-resource languages 3. Designed and conducted prompt engineering experiments to evaluate the accuracy of ChatGPT in translation to and from various low-resource languages using OpenAI API 4. Conducted human evaluation studies to compare the accuracy of ChatGPT with Google Translate 5. Utilized Comet evaluation and Bleu metric to analyze the effectiveness of ChatGPT in various scenarios
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1. Developed scalable and high-performance Flutter system using GetX for efficient state and route management, ensuring clean code and enhanced productivity 2. Utilized MVVM architecture to achieve a clear separation of concerns, allowing maintainable, testable, and extensible code 3. Implemented core functionalities such as CRUD operations and calendar integration to manage doctor appointments, improving appointment scheduling efficiency 4. Integrated asynchronous data transfer with RESTful APIs and Firebase, reducing the app’s server response time by employing edge computing strategies 5. Optimized application performance by implementing local storage solutions with shared preferences, resulting in an improvement in app speed 6. Customized and optimized third-party Flutter packages, reducing development time and enhancing compatibility with legacy systems
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학력
