Hi, I'm Evint
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.
Open-source platform for running large language models locally — private, fast, and fully under your control. Custom training and production-ready inference at scale.
Published ANN pipeline classifying circRNA-disease associations with Gaussian blur preprocessing — 75% accuracy at 0.14ms per prediction.
Production-ready inference with TensorRT acceleration. Handles batching, model versioning, and GPU memory management out of the box.
End-to-end AutoML with Gradio UI — from hyperparameter tuning with Optuna to experiment tracking with MLflow, all in one platform.
Extended self-organizing maps with PCA and random initialization, plus silhouette & Davies-Bouldin evaluation for unsupervised cluster analysis.
Real-time pose estimation with MediaPipe for form correction, rep counting, and personalized workout recommendations.
Unsupervised clustering of 190 countries over 45 years reveals four distinct economic paths — from stagnation to exponential growth.
Do crypto markets lead or lag equities around recessions? Cross-correlation and Granger causality analysis across five business cycles.
Community-driven platform connecting learners and researchers through structured courses and peer mentorship programs.
Building mental health awareness across Indonesia through accessible psychology content and peer-to-peer support networks.
Undergraduate Researcher
Building deep learning pipelines for circular RNA classification and genomic sequence analysis.
Co-Founder
Architecting open-source tools for local LLM deployment, inference optimization, and MLOps automation.
First Author
"Deep Learning Algorithm with Gaussian Blur Data Pre-processing in Circular RNA Classification"
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.