Entry Fresh Grad Software Engineer AI Machine Learning Python C

Rachel Ng

Email: ***********@*****.*** — Phone: 650-***-****

GitHub: https://github.com/eliyuji — LinkedIn: www.linkedin.com/in/rachel-ng-90b27420b Professional Summary

Computer Science graduate from UC Davis with a strong foundation in algorithms, system design, and applied AI. Experienced in building data-driven prototypes, designing technical architectures, and translating user and stakeholder needs into software specifications. Skilled in Python, C++, and cloud-based tools, with interests in simulation modeling, embedded systems, and scalable software applications.

Technical Skills

Languages: Python, Java, C++, C, JavaScript, R, Julia, HTML/CSS, Erlang, Haskell, Prolog Frameworks & Libraries: Flask, FastAPI, React, Svelte, PyTorch, Pandas, Node.js Tools & Platforms: Git/GitHub, SQL/SQLite, Linux, Jupyter, Docker, Figma Technical Focus: Algorithms & Data Structures, Object-Oriented Design, Data Pipelines, Cross-Team Collaboration

Experience

AI Engineer Remote

Shift AI (Stealth Mode) 2025

• Owned end-to-end development workflow: conducted user research, defined system requirements, and proposed software architectures.

• Translated user needs into technical specifications, including data flow diagrams, module interfaces, and system constraints.

• Built prototypes and a functional demo integrating data pipelines and AI modules to validate design assumptions.

Food Tracker – Nutrition Tracking Web App [Link]

University of California, Davis

• Developed full-stack application integrating data ingestion, API services, and front-end visualization to support personalized health insights.

• Designed data processing pipelines to handle nutritional API inputs and compute analytics in real time.

Emo-Stocks – Stock Market Prediction with Sentiment Analysis [Link] University of California, Davis

• Engineered an LSTM-based forecasting model combining time-series stock data and social media sentiment (50K+ tweets).

• Built data ingestion, cleaning, and feature engineering pipelines; validated model accuracy using historical backtesting.

CheckerMate – Game-Playing AI

University of California, Davis

• Designed an AI engine using Minimax search with Alpha-Beta pruning, optimizing runtime performance by > 90%.

• Evaluated using multiple metrics and documented system behavior and decision paths for reliability and reproducibility.

Education

University of California, Davis Davis, CA

B.S. in Computer Science Sep 2023 – Jun 2025

GPA: 3.71

Girls Who Code (Board Member): Co-organized HerHacks, the chapter’s first hackathon, managing event design and logistics.

Google Developer Student Club (Technical Director): Oversaw four development teams building AI applications, ensuring alignment between user expectations and deliverables. Reviewed design proposals, defined success metrics, and supported testing to validate that features met user needs.

AvenueE (Program Assistant and Mentor): Mentored 10 transfer CS students, providing academic guidance, technical support, and career preparation. Relevant Coursework: Operating Systems, Computer Architecture, Theory of Computation, Algorithm Design and Analysis, Human-Computer Interaction College of San Mateo San Mateo, CA

Computer Science & Engineering Transfer Coursework Aug 2021 – May 2023 Honors: Dean’s List

Relevant Coursework: Physics, General Chemistry, Linear Algebra

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