Hi, I'm Alex Wang
CS @ Stanford | AI/ML
I'm a Stanford CS student working at the edge of AI/ML and systems engineering. I've built tools for defense, finance, and healthcare and I'm deeply curious in virtually everything.
CS @ Stanford | AI/ML
I'm a Stanford CS student working at the edge of AI/ML and systems engineering. I've built tools for defense, finance, and healthcare and I'm deeply curious in virtually everything.
I'm a CS student at Stanford focused on applied AI and systems engineering. I've built tools that help people find clinical trials, classify sensitive documents, and rethink how the U.S. Navy deploys underwater weapons. These projects sit at the intersection of intelligence, infrastructure, and impact.
My strengths lie in taking fuzzy, high-stakes problems and turning them into clear technical roadmaps. I care about scalability, clarity, and shipping things that matter. Whether it's tuning models, designing data pipelines, or building backend systems, I try to bring rigor, curiosity, and a healthy sense of skepticism.
Now for what I really do in life, I love to live to the fullest. Spending time with friends/family, staying active, being outside as much as possible, eating good food, and having a whole lot of fun are all on the itinerary.
Years of Experience
Hobbies and Counting
CS Degrees in Progress. So Far, So Good.
Document Provenance Classifier
Created an LLM-driven classification system to infer document origin and ownership within enterprise settings. Used metadata, prompting strategies, and reasoning models to enable secure document lineage analysis.
Conducted sourcing and diligence on AI-first startups across vertical SaaS, legal tech, and defense. Built internal tools for scraping market signals and evaluated technical products from founder-led companies.
Led strategy and system design for a modular undersea payload system in collaboration with the U.S. Navy. Conducted 40+ interviews with defense stakeholders to develop scalable alternatives to traditional torpedoes.
AI Intern
Built a feedback loop-powered fine-tuning pipeline for financial and legal document classification. Helped extend the company's NLP capabilities into the legal domain using LayoutLM, PyTorch, and PostgreSQL.
_logo.svg.png){kind=logo}
Summer Analyst | June 2023 - August 2023
Worked as a private equity intern for premier technology investment firm. Developed growth strategies for portfolio companies Zuora, Unity, OVG, and Qualtrics.
Alumni and Sponsor Relations | August 2022 - Present
Created relationships with program alumni as well as raised funding from law, banking, and venture capital sponsors. Supporting student entrepreneurs with a community of founders and a worldwide network of mentors and investors.
Search Fund Analyst | August 2023 - February 2024
Driving data analysis, industry research, and acquisition sourcing for search fund. Conducting data analysis and industry research to guide strategic investment decisions and identify opportunities.
Software Intern | June 2022 - September 2022
Developed data visualization tools for the Chronograf product for the InfluxDB, the leading time-series database.
Research Assistant, Department of Astrophysics and Astronomy | May 2020 - January 2021
Trained models for post-doctoral student writing thesis on RR-Lyrae stars, presented to American Astronomical Society.
I'm always interested in new opportunities and meeting new people.