Hi, I'm Mike!

I'm a Student, AI Researcher, and Product Manager based in the Bay Area. Launching meaningful AI products that improve societal health and welfare.

About Me

Get to know me!

Hi, my name is Michael and I am a junior at Stanford University majoring in Computer Science (AI Track) and minoring in Economics.


Outside of work and class, I'm a big coffee fan ☕️ and an even bigger corgi lover 🐶 I also love working out and am constantly on the hunt for the next great read. If you have any recommendations, let me know!


While the world is theoretically a finite system, I believe that the complexity of the world is essentially infinite given our current lifespan. Thus, I believe that we should never stop growing and that's what I constantly strive for. I am interested in the intersection of technology and the humanities, and feel that the two schools of thought are simple different flavors of the human experience. I actually wrote some poems on the topic: check them out below!

Recent Updates

My Skills

C++

C

Java

Python

R

HTML

CS

Next.js

Natural Language Processing

Computer Vision

Data Analysis

Academics

I am pursing the following at Stanford University:

  • B.S., Computer Science (AI Track), Class of 2025
  • M.S., Management Science and Engineering (Technology Engineering Management), Coterm
  • Minor, Economics

Outside of class, I am Vice President of Tech in the Stanford Pre-Business Association (SPBA), and previously led a business consulting project for Webacy, a seed-stage Web-3 startup creating next-generation asset protection products. I am also Director of HackSpace at Stanford Business Association of Stanford Entrepreneurial Students (BASES), , which seeks to create a space to inspire and grow the next unicorns on campus! I am also a member of ASES Breakthroughs Deep Tech team (a premier venture capital education program), and a former member of Donner Houses dorm government!


Another one of my claims to fame is being on Stanford Dinings' website!

Relevant Coursework
CS231NDeep Learning for Computer Vision
CS224NNatural Language Processing with Deep Learning
CS221Artificial Intelligence: Principles and Techniques
STATS202Data Mining and Analysis
CS131Foundations of Computer Vision
CS161Design and Analysis of Algorithms

Projects

Stealth Startup (coming soon!)

Building cool stuff in the B2B commerce space. Stay tuned!

Parker (coming soon!)

Designed novel hardware + SaaS solution to aid Stanford Transportation in solving critical parking availability issues.

Prompt Compression for LLMs

Applied Meta's LlAMA models toward prompt compression for LLMs, expanding context window utilization.

ASL Transcription

Applied visual transformer models for the real-time transcription of American Sign Language (ASL).

LegalSparseSum

LegalSparseSum explore the effects of various fine-tuning methods on generating abstractive summaries of legal documents that are on average 10,000+ words long.

Personal Website

My corner of the internet! Made with Next.js and Tailwind CSS

An Anthology of Science and Literature

This is a collection of poems I wrote exploring the intersection of science and literature.

Breaking the Metric Voting Distortion Barrier

Applied visual transformer models for the real-time transcription of American Sign Language (ASL).

F1 Driver Bot

Applied deep learning models for the real-time navigation in driving simulations over varied terrains.