Jacob You

Software Engineer | Data Analyst

About

Who Am I?

Jacob You

I'm Jacob You, a software engineer at Duke University studying Computer Science and Statistics. I've been studying CS ever since middle school and am comfortable coding in Python, Java, C++, HTML, CSS, JavaScript, R, and MIPS. I'm particularly interested in AI and its uses, with research on sentiment analysis and multi-agent learning.

Skills

Python

Python Programming

Proficient in Python, with extensive experience in data analysis, web scraping, and machine learning applications.

PostgreSQL

Database Management

Skilled in PostgreSQL, managing complex databases and performing advanced data manipulation and queries.

AI

Artificial Intelligence

Experienced in Machine Learning and AI, including neural networks, regression models, and natural language processing.

Frontend Development

Frontend Development

Well-versed in front-end development using JavaScript, HTML, and CSS, focusing on design and user experience.

Node.js

Backend Development

Proficient in Node.js for backend development, familiar with frameworks like Express.js and building RESTful APIs.

Resume

Education

Duke University, B.S. in Computer Science and Statistics (Expected May 2027)

GPA: 3.96/4.0

Relevant Coursework: Data Structures and Algorithms, Calculus II, Data Science, Computer Architecture, Regression Analysis

Certificates: Python 3 Programming, Databases with Python, Java Programming, Machine Learning, AI Fundamentals

Software Engineering Intern - HYC Technology

June 2024 2024 - Present

  • Explored automation opportunities for in-circuit testing on chips and circuits.
  • Developed a debugging assistant using Meta's Llama 3 LLM with QLoRA fine-tuning.
  • Reduced production time by 28% through optimized processes.

Student Researcher - Duke University Laber Labs

April 2024 - Present

  • Conducted probabilistic Machine Learning research projects under Professor Eric Laber.
  • Developed and programmed a multi-agent movement simulator using Python, pathfinding algorithms, and reinforcement learning AI.
  • Utilized Git for version control and project management.

Software Engineer Intern - Healthy Acres

June 2022 - August 2022

  • Utilized Python to clean and analyze CSV data, detecting patterns between temperature, humidity, moisture, and water cost.
  • Automated monthly summaries and graphs of the farm’s systems, reducing expenditure by 37%.
  • Developed predictive models and visualizations to enhance business decision-making.

Research Fellow - Q-Munity (Quantum Computing)

June 2022 - August 2022

  • Led a research project in collaboration with University of Oxford to explore Quantum Natural Language Processing (QNLP).
  • Designed and engineered QNLP algorithms for analyzing simple sentences in a quantum computing environment.

Research Intern - UC Santa Barbara Four Eyes Lab

June 2021 - August 2023

  • Investigated the impact of demographics on label noise and uncertainty in machine learning datasets.
  • Analyzed demographic effects on sentiment analysis and algorithm predictions.
  • Co-authored a paper published in Proceedings of the ACM on Human Computer Interaction.

Research Intern - CSUN NASA Autonomy Research Center for STEAHM

May 2020 - June 2021

  • Developed software to detect specific minerals in images using machine learning and image interpolation.
  • Implemented and tested image recognition tools for analyzing data from Mars rovers.
Download Resume

My Projects