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박가브리엘
MLE, with a strong background in NLP/LLMs, interested in BCI applications and data platforms.
經歷
• Supporting a career coaching consultancy in developing an RAG AI chatbot platform to scale their Q&A process, aiming to increase question volume while reducing response time and repetitive inquiries by 25%.
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2023년 5월 - 2024년 5월 · 1년 1개월
Graduate Teaching Assistant
2024년 1월 - 2024년 5월 · 5개월
• Mentored 27 graduate students, achieving a 100% course completion rate and a 97% average grade. • Guided students in understanding and implementing neural networks (ANN, RNN, CNN) from scratch in Java, delivering high-quality feedback on their coursework.
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Graduate Research Assistant
2023년 5월 - 2024년 5월 · 1년 1개월
• Optimized user reading experience by dynamically rephrasing text based on real-time user feedback using an LLM. Designed and developed a human-centric ML system using a mobile app using GloVe, Vector Database, and SentenceBERT. • Developed a mobile app solving a critical pain point in the $600 billion market for HCI using Flutter, Flask, MongoDB, and PyTorch. Deployed self-hosted backend server using microservices architecture and Docker Compose for REST API deployment. • Facilitated an AI research training program supported by a $2 million NSF grant by establishing communication channels between executives and trainees and organizing trainee activities.
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data mining 알고리즘 향상 및 NLP language model개발
• Provided regular updates on the progress of the iOS app development, ensuring clear communication with stakeholders. • Created a comprehensive user flow and wireframe for the app.
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• Conducted a research project to detect malignant conditions (Barrett's esophagus) in microscopic (OCT) images by building computer vision models and collaborating with medical experts to interpret the data.
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學歷
Activities and societies: AWARE-AI NSF Research Traineeship, CLaSP research lab, AI Hackathons, Robotics Hackathon, BrickHack9 Hackathon, AI Club, Data Science and Data Engineering Club, Computer Science Community events, Society of Software Engineers events, Toastmasters International Speechcraft, Business Skills for Aspiring Leaders, Ideation, Leading Innovative Teams, Professional Skills for Innovators, Launching Technology Ventures Workshops, MSAI Director-Student meeting, ImagineRITActivities and societies: AWARE-AI NSF Research Traineeship, CLaSP research lab, AI Hackathons, Robotics Hackathon, BrickHack9 Hackathon, AI Club, Data Science and Data Engineering Club, Computer Science Community events, Society of Software Engineers events, Toastmasters International Speechcraft, Business Skills for Aspiring Leaders, Ideation, Leading Innovative Teams, Professional Skills for Innovators, Launching Technology Ventures Workshops, MSAI Director-Student meeting, ImagineRIT Core Courses: - Applied Statistics - Software Construction - Relational Database Implementation - Software Engineering for Data Science - Fundamentals of Data Science and Analytics - Applied Data Science I, II Electives: - Neural Networks - Natural Language Processing - Non-Relational Database Management AWARE-AI NRT Courses: - Human Factors in AI
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Activities and societies: Math club, Student Entrepreneur Program StEP at Venture Development Center (VDC)Activities and societies: Math club, Student Entrepreneur Program StEP at Venture Development Center (VDC) Related Courses: - Linear Algebra - Multivariate Calculus - Probability and Statistics - Applied Discrete Mathematics - Theory of Computation - Advanced Data Structures and Algorithms Electives: - Artificial Intelligence - Relational Database Management
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活動
프로젝트
Named Entity Recognition Serivce
2021년 8월 - 2021년 9월 · 2개월
- Built the NER (NLP) model that analyzes the input texts and categorizes entity names. - Created the full stack of the web with H2O Wave and FastAPI. - Deployed the service with Docker Compose.
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Investigating Netflix Movies and Guest Stars in The Office
DataCamp · 2021년 8월 - 2021년 8월 · 1개월
Investigate that if Netflix’s movies are getting shorter over time: - Prepared the data and loaded it into a dictionary. - Visualized and analyzed the data with Matplotlib. - Concluded that there is no direct relationship between the duration of Netflix movies and their release year.
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The Android App Market on Google Play
DataCamp · 2021년 8월 - 2021년 8월 · 1개월
Analyze the Android app market by comparing apps in Google Play across different categories: - Cleaned the data by making it consistent with types. - Visualized and analyzed the data. - Filtered out junk data. - Compared each type of apps. - Conducted the sentiment analysis of user reviews.
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Building a Spam Classifier with Support Vector Machines (SVMs)
Coursera · 2021년 7월 - 2021년 7월 · 1개월
Build a spam classifier with support vector machines (SVMs): - Implemented a Gaussian kernel to return the similarity between the feature vectors. - Built the optimal parameters finder for the SVM model. - Processed and feature engineered the email. - Tested the model and obtained high accuracies.