LI CHENTAO / 李晨涛
Central Conservatory of Music · Piano Performance
Bringing the listening, taste and judgment of systematic musical training into generative AI, agents and real-world tasks.
Li Chentao / 李晨涛ABOUT / Li Chentao
Piano performance undergraduate at the Central Conservatory of Music, exploring generative AI, agents and verifiable workflows through a musician’s perspective.
The precision of musical practice informs a habit of questioning, checking and refining AI output.
01 / MUSICAL FOUNDATION
A piano performance undergraduate at the Central Conservatory of Music. Systematic training means approaching a work through its structure, layers and detail, with constant feedback and revision.
Professional training centered on touch, tone, rhythm and phrasing.
Judgment of pitch, rhythm, voices and harmony through reading and listening.
Understanding form, texture and context, then translating analysis into performance choices.
Bringing expression, focus and execution together in a complete performance.
ON STAGE / 03
A few moments from piano performances.
Performance experience
Solo performance venues include
Through the “与涛谈琴” salon, sharing musical knowledge, piano technique and the context of works with public audiences.
02 / RECOGNITION
CNY · scholarship training program
A scholarship training program associated with Xinghai Conservatory of Music, received when applying to university during the affiliated secondary-school stage. A formal certificate is held.
PERSONAL RECOGNITION
First Prize · South China Final
Second place
First place · Professional Junior Category · National Final
First place · Junior A Category · National Final
First place · National Final
First place · 四组 · National Final
First place · Children’s Category · National Final
First place · Professional Junior Category · National Final
12th Melbourne International Music Competition / China Preliminary
精英教师奖
Guided a student who won first place globally in the junior category, and received the Outstanding Teacher award in recognition.
03 / HUMAN × INTELLIGENCE
Hands-on use of ChatGPT, Claude, Codex and agents to turn complex requirements into executable, reviewable workflows, with a focus on practical applications and delivery.
Scope: AI tools and workflow practice, rather than algorithm research.
Define the goal, constraints and acceptance criteria before breaking down the work.
Structure background, constraints, inputs and outputs around a specific task.
Track execution, identify blockers and adjust the task as work progresses.
Check facts and logic, run and debug the result, and iterate.
04 / SELECTED WORK
Real project / this website
A deployable portfolio centered on music and AI applications, from requirements and open-source selection to development and verification.
Project definition & content direction · AI-assisted design and development
Establish the positioning and content hierarchy, keeping only supported experience.
Compare GitHub sources for visual quality, 3D, scroll animation and licensing.
Use AI tools to implement bilingual content, 3D visuals and scroll interactions.
Check responsive layouts, keyboard interactions, motion fallbacks and production builds.
Find my code and projects here.
05 / HOW I WORK
Model output is never automatically the answer. Definition, execution, checking and revision form one complete loop.
Specify the problem, deliverable, constraints and acceptance criteria.
RÉSUMÉ / Résumé overview
PHOTOGRAPHY / 05
Light, water and birds, photographed along the way.
06 / LET’S CONNECT
Let’s talk about music content, music technology and practical AI applications.