Work and Experience

Technical Experience

  • Software Engineering Intern, LUBU Technologies January 2024 – March 2024
  • Co-Founder and Principal Data Scientist, Cardinal Trading Group September 2022 – December 2023
  • CEO and Backend Developer, Saltubolic LLC January 2022 – December 2023
  • Data Science Intern, Equity Residential June 2023 – August 2023
Beyond my technical experience, I have a deep passion for health and wellness. Throughout my life I've worked in roles, which allowed me to fullfill my passion, and help others on their self-improvement journey.



Other Experience

Health Hero Chatbot

This is an LLM RAG-based chatbot application that is focused on providing on free health and fitness advice, at scale!

Accolades

Projects

Below are some of the projects that I've worked on

CNBC Finance Article Scraper

Automated a Selenium scraper for CNBC articles using Github Actions.

GitHub

Hold On To Data

Tested the effectiveness of data augmentation techniques in enhancing rock climbing hold detection using the YOLOv8 model.

GitHub

Plot MVP

Worked on MongoDB schema design and listing filtration mechanism for a parking subleasing platform called Plot.

GitHub


I also have some lifetime accomplishments, which I find very cool!

Achievements

  • 1100 pound club
  • ML+X Forum Presenter: Spurring self-improvement and intrinsic motivation using LLMs and reinforcement learning
  • Multiple Free Solos
  • The 2024 Transcend Innovation Competition - Advanced Track Winner
  • 3rd Place in UW Madison Capital Managment Club's Stock Pitch Competition

About Me

Since I was very young, I have been obsessed with how movies encompass societal personas in their characters. I spent hours building LEGO arenas and creating extensive lore for minifigures that would embody different people's personalities. As an immigrant to the United States, I became increasingly aware of sociological constructs that governed daily life, especially how they translated to the digital landscape. I became very interested in studying and modeling human behavior using computational statistics. From there, I fell in love with building modern data-centric & AI applications for accessibility and growth!



I recently graduated from the University of Wisconsin, Madison with a degree in Data Science and Economics, where my coursework included foundation and applications of machine learning, big data, object-oriented programming, mathematics, statistics and econometrics.



I am interested in opportunities in health/fitness tech and financial markets, and I am prepared for a dynamic career in these fields. Feel free to contact me for any opportunities or collaborations through the contact tab!