Hi, I'm Nattaput (Gorn) Namchittai

Machine Learning Researcher at Stanford Artifical Intelligence Lab (SAIL)

Computer Science and Math at Stanford

About Me

Hello! I'm Nattaput (Gorn) Namchittai, a CS + Math student at Stanford passionate about machine learning and building cool things. I enjoy research and engineering that bridge theory and practical impact.

Resume

My Projects

AgenticEvals (GSoC @ DeepMind)

Benchmark for evaluating LLMs across five foundational AI agent types (under mentorship from Google DeepMind in the Google Summer of Code program 2025).

LLMs AI Agents Benchmark
Novel Attention Mechanisms (SNAP group @ SAIL)

Novel Attention Mechanisms (SNAP group @ SAIL)

Novel Attention Mechanisms for the largest open-source language model for sceince.

PLMs Attention Graph ML
Semantic-Spatial Reasoning Benchmark (SAIL)

Semantic-Spatial Reasoning Benchmark (SAIL)

A benchmark to test semantic-spatial reasoning in MLLMs. Built using Gradio.

MLLMs Reasoning Gradio Benchmark

Stanford ACM Webpage

Maintaining the official Stanford ACM Webpage.

Web Dev Design CI/CD
HDC ML

Resource Optimization for HDC ML models

Invented novel optimization methods for Hyperdimensional-Computing-based classifiers and generative models.

Optimization Parallel Computing Number Theory Constraint Solving HDC
CTTS

Contrastive Test-Time Scaling

Reasoning model that scales efficiently with test-time compute, beating state-of-the-art models.

LLMS Reinforcement Learning Reasoning Test-Time Scaling
HDKAN

Hyperdimensional Kolmogorov-Arnold Networks (HDKAN)

HDC-based KANs matching HDC-CNN vision accuracy but with improved parameter efficiency for edge devices.

Vision Edge ML KANs HDC
MCTS-BC

Deep Behavioral Cloning with Synthetic MCTS Expert Data

Evaluated the viability of synthetic MCTS expert data for deep behavioral cloning in 2048.

Reinforcement Learning Synthetic Data Parallel Computing

Get In Touch

Email: gorn@stanford.edu

LinkedIn: https://www.linkedin.com/in/nattaput-gorn-namchittai/