박가브리엘(gabr.park) | 59YEAH Machine Learning Engineer Intern

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बूटकैंप · व्यावसायिक कौशल विकास

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हम इस सेवा के माध्यम से प्रदान की गई उपयोगकर्ता की व्यक्तिगत जानकारी सहित, प्रत्येक डेटा स्वामी की सहमति के बिना डेटा के अनधिकृत संग्रह को प्रतिबंधित और अस्वीकृत करते हैं। आपको सूचित किया जाता है कि सार्वजनिक डेटा को भी क्रॉलिंग जैसे तकनीकी माध्यमों से बिना अनुमति के एकत्र करने पर व्यक्तिगत जानकारी संरक्षण अधिनियम के तहत आपराधिक दंड हो सकता है।

व्यवसाय पंजीकरण संख्या 206-87-09615

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박가브리엘(gabr.park) | 59YEAH Machine Learning Engineer Intern

박가브리엘

पोस्ट

फ़ॉलोअर्स

फ़ॉलोइंग

MLE, with a strong background in NLP/LLMs, interested in BCI applications and data platforms.

करियर

पोस्ट

AI करियर सारांश

박가브리엘님은 NLP/LLM 분야에 강점을 가진 머신러닝 엔지니어로서, RAG AI 챗봇 플랫폼 개발 및 사용자 경험 최적화를 위한 텍스트 재구성 시스템 개발 경험을 보유하고 있습니다. 또한, 신경망 모델 구현 지도 및 CV 모델 개발 경험을 통해 머신러닝 전반에 대한 깊이 있는 이해를 갖추고 있습니다.

अनुभव

Machine Learning Engineer Intern

59YEAH

2024년 7월 - 2024년 12월 · 6개월

• 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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Rochester Institute of Technology

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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Machine Learning Engineer Intern

코드크레인

2022년 4월 - 2022년 7월 · 4개월

data mining 알고리즘 향상 및 NLP language model개발

iOS Designer

EchoScope Inc.

2021년 1월 - 2021년 3월 · 3개월

• 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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Research Assistant

Massachusetts General Hospital

2018년 6월 - 2018년 9월 · 4개월

• 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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शिक्षा

Rochester Institute of Technology

졸업

2022년 1월 - 2024년 1월 · 2년 1개월

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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University of Massachusetts Boston

졸업

2015년 1월 - 2020년 1월 · 5년 1개월

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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गतिविधि

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.

프로젝트

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.

프로젝트

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.

프로젝트

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.

भाषा

한국어

원어민

영어

고급 (자유로운 의사소통)

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