Hi, I'm Tim, a student developer based in Shanghai. I focus on agent development, observability tooling for machine learning, deep learning, and reinforcement learning, quantitative systems, and carefully crafted full-stack products. Full-stack development is central to who I am: from frontend and backend engineering to databases, LLMs, AI infrastructure, and low-level computer systems; from advanced GSAP motion design and Three.js 3D experiences to React development; and from FastAPI and Next.js to Redis and PostgreSQL. I aspire to become a versatile, end-to-end developer for the AI era.
你好,我是 Tim,一名在上海学习的学生开发者。我专注于智能体开发,ML、DL与RL的可观测性工具,量化系统,以及经过细致打磨的全栈产品。全栈是我的标签:从前端到后端、数据库,再到 LLM、AI infrastructure 和计算机底层;从 GSAP 高级前端动效、Three.js 3D 建模到 React 开发;从 FastAPI、Next.js 到 Redis、PostgreSQL。我立志成为 AI 时代的全能开发者。
Note
Evidence-grounded research workflows, local-first ML tooling, and systems that turn experiments into usable products.
有证据支撑的研究工作流、本地优先的机器学习工具,以及将实验转化为可用产品的系统。
⭐️ Feel free to follow me - I’d really appreciate your support!
Thank you for visiting my page ❤️
P.S.: I followed your profile because your project caught my interest.
I really appreciate your work - it helps me discover something new. Thanks for that too.
Specialized ML / 专项方向
YOLOv8 · PaddleOCR
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SciScope Evidence-grounded literature research agent — Python RAG + Go TUI RAG DeepSeek Research Infra
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PulseGraph Local-first PyTorch training observability workbench ML Observability Visualization Exp Tracking
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BDI Drone-based bridge inspection with YOLOv8 + Next.js + Django Computer Vision YOLOv8 Django
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EduCanvas Multimodal AI tutor for K–12 AI literacy education Next.js AI Education Multimodal
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Mathematical Modeling — 3 competition entries: MILP, MDP, Monte Carlo & Markov
26_MathModel_Agriculture — 农作物种植策略优化
MILP · SAA · CVaR · Stochastic Optimization
26_MathModel_Desert — 穿越沙漠
MILP · MDP · Multi-agent · Game Theory
26_MathModel_Tunnel — 霍尔木兹海峡封锁对国际原油价格的影响
Markov · Monte Carlo · Mechanism Model · Econometrics
Build carefully. Measure honestly. Keep learning.


