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AI/ML Engineer | SDE |NeurIPS'25 Bronze Medalist | Open source contributor | Building at the intersection of AI and scientific data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nyang
June 7, 2026 – Present
A cozy pixel cat that lives on your Mac 🐱 - Swift + SpriteKit desktop companion with moods, eye-follow, typing reactions, AI chat, Pomodoro & more
View Projectleetgit
June 1, 2026 – Present
Auto-sync your accepted LeetCode solutions to GitHub, with streaks, charts and a solve dashboard. Self-contained Chrome/Edge extension.
View Projectoverleaf-mcp
April 22, 2026 – Present
MCP server giving AI agents (Claude Code, Copilot, Antigravity) bi-directional sync with Overleaf - free tier included. 24 tools: LaTeX check, format, fix, compile, push.
View ProjectMatCLIP
April 16, 2026 – Present
Multi-Modal Contrastive Learning for Materials Science - Aligning crystal structures, XRD patterns, and text descriptions
View Projectlumen-xarray
March 10, 2026 – Present
Native xarray support for Lumen - SQL-queryable N-dimensional scientific data
View Projectcover_letter_optimizer
July 27, 2025 – July 27, 2025
cover_letter_optimizer — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-starter attitude and passion for diverse technical challenges. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural fit within a structured organizational environment. The project 'MatCLIP' shows a strong alignment with the AI/ML domain, but other projects are quite diverse, indicating broad interests rather than focused AI/ML experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.