Anthony Tang

Frontend Developer

https://talent.gravityer.com/anthony-tang

Member since June 29, 2026

Key Strengths

Demonstrated proficiency in frontend technologies like TypeScript, JavaScript, HTML, and CSS through multiple personal projects.
Experience with AI/ML concepts (e.g., vector distance algorithm, LLM detection, FFN_MNIST_Experiment) which could be a unique asset for AI-driven frontend applications.
Participation in HackRice 14, winning the Adobe Challenge, indicates problem-solving skills and ability to deliver under pressure.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including hackathon participation and AI/ML research. This suggests a self-starter with a passion for learning and exploration. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative corporate environment. The projects are diverse, but many lean towards backend/AI, which might not perfectly align with a pure Frontend Developer role without further validation.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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

Scribblr

April 7, 2026 – Present

Scribblr — GitHub repository

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test

March 5, 2026 – Present

test — GitHub repository

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Personal-Website

February 25, 2026 – Present

Personal-Website — GitHub repository

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Job-Monitor

February 4, 2026 – Present

Job-Monitor — GitHub repository

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why-it-failed

December 24, 2025 – December 24, 2025

Code and results from "Why It Failed: A Benchmark to Evaluate Interpretability:

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LLM-Detection-Testing

October 7, 2025 – November 17, 2025

LLM-Detection-Testing — GitHub repository

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owl-mart-demo

October 1, 2025 – October 4, 2025

owl-mart-demo — GitHub repository

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FFN_MNIST_Experiment

July 29, 2025 – July 31, 2025

FFN_MNIST_Experiment — GitHub repository

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Roommate-Matcher

March 9, 2025 – Present

Roommate Matcher using OR algorithms

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OwlTrack-HackRice14

September 21, 2024 – September 22, 2024

HackRice 14 Adobe Challenge Winner. AI-Powered 4-year course planner and course suggestion model based on vector distance algorithm

View Project

Key Strengths

Demonstrated proficiency in frontend technologies like TypeScript, JavaScript, HTML, and CSS through multiple personal projects.
Experience with AI/ML concepts (e.g., vector distance algorithm, LLM detection, FFN_MNIST_Experiment) which could be a unique asset for AI-driven frontend applications.
Participation in HackRice 14, winning the Adobe Challenge, indicates problem-solving skills and ability to deliver under pressure.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Anthony Tang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit