KUAN-HAO HUANG

Data Scientist

https://talent.gravityer.com/kuan-hao-huang

Opensource4you | Apache Mahout (@apache ) Committer| Quantum , Cloud-Native and AI.

Taiwan

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'NTCU-Machine-Learning', 'CNN-Assignment-2025', and 'flashInfer_track_b'.
Experience with Python, a core language for Data Science.
Exposure to CUDA programming, indicating an understanding of GPU acceleration relevant for deep learning.
Projects like 'SurveyHelper' and 'nsys-ai' show an ability to build tools and work with data analysis concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The diversity of technologies (Python, Rust, Cuda, Shell, JavaScript) suggests adaptability. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit for a collaborative environment. The projects align with a technical, research-oriented culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SurveyHelper

June 9, 2026 – Present

Local research companion + OpenClaw plugin — fetch papers, analyze, citation graph, proactive surfacing

View Project

sparsefuse

May 4, 2026 – Present

SparseFuse NeurIPS 2026 artifact repository

View Project

sparsespline-ffn

April 30, 2026 – Present

sparsespline-ffn — GitHub repository

View Project

nsys-ai

February 26, 2026 – Present

Terminal UI for NVIDIA Nsight Systems profiles — timeline viewer, kernel navigator, NVTX hierarchy

View Project

flashInfer_track_b

February 10, 2026 – Present

A repo for track b deepseek

View Project

rustguard

January 23, 2026 – Present

A high-performance, userspace WireGuard implementation in Rust. Features GSO/GRO offloading, batch I/O, and a thread-per-core architecture for maximum throughput.

View Project

QWV

June 26, 2025 – July 1, 2025

Building a modern, secure, and maintainable personal VPN with Docker, WireGuard, and Cloudflare

View Project

CNN-Assignment-2025

June 9, 2025 – June 10, 2025

NTCU113-2 | Machine Learning | 賴冠州教授指導

View Project

NTCU-Machine-Learning

May 8, 2025 – May 15, 2025

NTCU113-2Machine Learning/賴冠州教授

View Project

leetcodeRecords

May 5, 2025 – May 12, 2025

leetcodeRecords — GitHub repository

View Project

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'NTCU-Machine-Learning', 'CNN-Assignment-2025', and 'flashInfer_track_b'.
Experience with Python, a core language for Data Science.
Exposure to CUDA programming, indicating an understanding of GPU acceleration relevant for deep learning.
Projects like 'SurveyHelper' and 'nsys-ai' show an ability to build tools and work with data analysis concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

KUAN-HAO HUANG

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit