Hi, I'm Evint

Cofounder of
Kolosal AI

Building the future of artificial intelligence at Kolosal AI. Researcher at UBC, where I teach machines to decode biology — from circular RNA to tumor suppressor genes — and occasionally, the stock market.

Scroll

Selected Work

  • All
  • Featured
  • Research
  • Open Source
  • Analysis
  • Community

Experience

Current

University of British Columbia

Undergraduate Researcher

Building deep learning pipelines for circular RNA classification and genomic sequence analysis.

2023 — Present

Kolosal AI

Co-Founder

Architecting open-source tools for local LLM deployment, inference optimization, and MLOps automation.

2024

Publication

First Author

"Deep Learning Algorithm with Gaussian Blur Data Pre-processing in Circular RNA Classification"

About

I chase problems where data hides something meaningful — a motif buried in RNA sequences, a leading signal in financial time series, or a chance to make ML infrastructure less painful.

Currently an undergraduate researcher at UBC building deep learning systems for genomic data, and co-founding Kolosal AI to make running LLMs locally actually simple. My first-author publication on circular RNA classification is live in URNCST Journal.

When I'm not debugging loss curves, I'm reading about macroeconomics or exploring Vancouver's trails.

What I work with

  • Python
  • PyTorch
  • TensorFlow
  • FastAPI
  • Docker
  • CUDA
  • Pandas
  • OpenCV
  • Streamlit
  • MLflow

Say hello

Always open to interesting conversations — whether it's a research collaboration, an open-source idea, or a dataset that made you stop scrolling.