#!/usr/bin/python
# -*- coding: utf-8 -*-

class SoftwareEngineer:

    def __init__(self):
        self.name = "Jeffrey Liu"
        self.role = "Software Engineer"
        self.language_spoken = ["en_US", "zh_CN"]
        self.interests = ["Stand-Up Comedy", "NBA", "Ice Hockey", "Poker", "Anime (Attach on Titan)", "Go", "Chess"]

    def say_hi(self):
        print("Thanks for visiting my personal Github Repo, hope you find some of my featured work interesting.")

me = SoftwareEngineer()
me.say_hi()

• Personal Website: Website Link
• 🚀 Incoming SDE Intern @LinkedIn (Summer 2024)
• 🔭 Ex SDE Intern @Amazon (Summer 2023)
• 🌱 I’m currently learning about Nature Language Processing and LLM Finetuning.
• 💬 Feel Free to connect with me. I love communicating with everyone.
• 😄 Pronouns: He / Him / His

A Job Dashboard and Newsletter website that helps student to find their best-fit internship. Exciting Update! The Project now has 200+ active users.

What makes exact-match.io a special project? 🛡️

• 📨We have a Weekly Newsletter feature! Get tailored notifications about job postings that are in sync with your profile - your Grade Level, Sponsorship needs, and more.
• 🔍 Our intuitive homepage lets you Select and Filter job postings based on your criteria. The ‘Apply’ button will whisk you away directly to the job posting page. 💨

• A large language model (GPT) supported Positive Reframing Website, allowing users to restructure sentences into more positive phrasing while retaining the essence of the content.
• Integrated the HuggingFace Gradio API and ChatGPT API into the system, allowing users to receive multiple rephrased sentence options for selection.

Paper Title: Did your child get scared by an inappropriate advertisement on YouTube? Website

• First Author
• Led a team of four student researchers to construct a large-scale and labeled dataset of YouTube advertisements displayed in young-kid-oriented videos.
• Accepted by 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Undergraduate Consortium (KDD-UC).
• Tech: Selenium, Python, Web Scraping, HTML (May '22)

Paper Title: Samba: Identifying Inappropriate Videos for Young Children Website

• Accepted by 31st The Conference on Information and Knowledge Management (CIKM)
• Collaborated with researchers and professors to develop a fusion model that improves the accuracy of predicting whether a YouTube video is appropriate for children by at least 7% over other state-of-the-art classifiers.
• Tech: Tensorflow, BERT (May '22)