Gary Wang

URAP Research Assistant

• AI nutrition and food systems research and full-stack development.
• Risk assessment algorithms for non-communicable diseases (NCDs) team.
• Supervised by Prof. Isabel Madzorera.

Undergraduate Research Assistant

• AI for Science Discovery and Knowledge Evaluation/Management.
• Supervised by Prof. Stefano Bertozzi.

Student Researcher

• AI/machine peer-review evaluation team, in collaboration with the MIT Press and the Gates Foundation.
• Supervised by Director Hildy Fong Baker.

Undergraduate Student Researcher

• Social media analysis of SBCTA.

Undergraduate Research Assistant

• Chatbot research assistant, supervised by Prof. Yunfei Hou.
• Developed reward-modeling pipelines and evaluation frameworks for chatbot systems, measuring confidence calibration and faithfulness across LLM-generated outputs, improving response sharpness by 60%.
• Implemented automated experiments and data analysis workflows to assess model truthfulness under varying prompts and conversational contexts.

Full Stack Engineer

• Optimized a persistent-memory AI agent workflow and its contextual memory systems, improving workflow efficiency by 30% and contextual memory performance by over 20% across specialized professional AI modes.
• Redesigned an agent evaluation dashboard and engineered an RLHF-based evaluation system, improving work speed by 15% while streamlining model analysis and the deep learning step process.

ML Researcher

• Multilingual system optimization, recommendation-oriented NLP analysis on large-scale e-commerce data.

Business Analyst

• Built frameworks for evaluation and experimentation efficiency, improving performance in AI-driven e-commerce projects and initiatives by 20% for Alibaba's Cross-Border E-commerce Service Center.
• Analyzed large-scale e-commerce and recommendation data using econometric modeling to evaluate scalable AI marketplace solutions, providing 100+ generative solutions and market decisions.

Undergraduate Researcher

• Applied tensor decomposition, CP decomposition, and related machine learning techniques to classify and categorize AI-generated responses from university chatbot interactions.
• Evaluated and improved contextual accuracy by 40% across diverse student inquiry categories, analyzing response quality and identifying performance trends in information retrieval and response specificity.
• Collaborated with and supervised by Prof. Vagelis Papalexakis.

Undergraduate Researcher

• Reward modeling.

Startup Associate

• Outreach & growth.

Marketing Intern

• Operation optimization, automation tool efficiency, product visibility, UI/UX.

Instructor

• Mathematics instructor and 1-1 instructor: K-12, AP Calculus BC, AP Statistics, AP Physics.

Founder

• AI survey-response analysis, AI news page and blog.

Publisher

• Language-acquisition iOS app built with the OpenAI API, Flutter, AssemblyAI, Firebase, and Android Studio.

ML Researcher

• Salary prediction model on 70k entries with 6 unique prediction algorithms.

Data Analyst

• Full-stack development and customer support: 20+ features for a customer support portal supporting nucleic acid homogenizer systems.
• Collaborated with engineers and stakeholders to test, debug, and deploy application features, improving system usability and customer support workflows.

Software Intern

• AI innovation research and cloud computing app development.
• Supervised by Prof. Yu Sun.

Research Writer

• NLP analysis on language acquisition applications (ADNLP '24).
• Reward model and tensor decomposition (IEEE '26).

Software Engineer

• NGS kit analysis, beta data testing on a bacterial pathogen prep kit, and FastPrep research with MP lab teams.

Volunteer

• 3 book drives, $3k raised for ARC & ACS.
• Veteran rehab and K2K reading management.

Astrophysics Researcher

• Telescope data analysis at the George Mason University Observatory; NASA mission details proposals.

Independent AI Web-app & App Development

• Designed and deployed 40+ full-stack products for practical, quality-of-life usage, including AI assistants, study tools, travel platforms, real-time marketplaces, and productivity systems.
• Engineered custom, production-ready web-apps and apps from idea to live deployment, transforming 30+ unique user requirements into scalable features, integrations, and polished end-to-end experiences.

Language Learning App & Research Paper

• Developed an interactive, video-based language-learning application for three languages and authored a ten-page research paper evaluating its design, methodology, and simulated language-learning results.
• Selected as 1 of 3 student speakers and 1 of 9 student authors at the ADNLP 2024 International Conference; the paper was later selected and published in a special issue across 10+ NLP journals.

University of California, Berkeley

• Relevant coursework: Concepts of Probability (STAT 134), Concepts in Computing with Data (STAT 133), Linear Algebra & Differential Equations, Multivariable Calculus, Econometrics, Microeconomics (Quantitative), Macroeconomics (Quantitative)
• Skills: Statistical Modeling, Product Analytics

University of California, Berkeley

• Skills: Python, Java

University of California, Berkeley

St. Margaret’s Episcopal School

• SAT: 1590 (Oct 2024)