AI Solution Partner & Scrum Master Β· Beijing, China
Kelly Liu.
AI
What's your story?
Currently Schneider Electric
Education McGill MMA Β· Concordia
Based in Beijing πŸ‡¨πŸ‡³
Languages EN Β· δΈ­ζ–‡
See My Work GitHub β†— LinkedIn β†—
01

Work

2024 β€” Present
Schneider Electric
AI Solution Partner & Scrum Master
Converted from AI Algorithm Engineer Intern to AI Solution Partner. Managing development of internal AI solutions, leading cross-functional teams, and implementing external AI solutions for water, power, and brewing sectors. Mentoring internal AI contests and the external GO GREEN competition.
Beijing, China
2023 β€” 2024
CN (via McGill)
Data Solution Architect
Delivered transformative data mining and analytics solutions in an academic consulting project. Translated business requirements into technical data pipelines and implementation-ready analytical workflows.
Montreal, Canada
2021 β€” 2022
Foxconn
Design for Manufacturing Engineer
Led failure analysis and root cause identification on the production line. Used operational systems and machine data to improve yield, optimize process efficiency, and ensure quality targets for mass production.
Chengdu, China
2018 β€” 2020
Novartis
Commercial Business Analyst
Built forecasting models and multi-source dashboards to support 3 new drug launches. Streamlined scheduled report preparation, giving brand managers clear visibility into market performance.
Montreal, Canada
02

Projects

πŸ₯ˆ 2nd Place Β· $3,000
ALDO GenAI Hackathon
As builder and model lead, I developed an AI self-serve assistant for ALDO store managers that supports data Q&A, insights exploration, and strategic decision suggestions for store operations. Built with Team Fractals in a 38-team McGill Γ— AWS competition and presented directly to CEO David Bensadoun.
GenAI AWS Retail Oct 2024
πŸ“¦ Client Project
CN Rail β€” GenAI Classification
Built a GenAI-powered automated classification POC for CN to reduce manual processing and decision latency. Delivered a 50% cost reduction scenario and supported fuel-efficiency analysis showing break-even by Year 3.
Python VectorDB Azure PowerBI
🩹 Personal
ACL-Patch
A passion project I built before my ACL surgery to record and reflect on my rehab journey. ACL-Patch also serves as a practical sandbox to practice computer vision image processing and explore GenAI model applications.
Streamlit MediaPipe OpenCV
View on GitHub β†—
πŸš— Analytics
Canadian Car Sales Forecasting
An end-to-end time-series forecasting example built to demonstrate my forecasting capability in a clear business context. Developed in Jupyter using ARIMA and machine learning approaches on Canadian automotive sales data.
Python ARIMA Forecasting
View on GitHub β†—
03

Skills

Drag nodes Β· Hover for quick labels Β· Click for evidence panel
Core capability
Domain knowledge
Tools & platforms
Proof projects
Ring thickness = proficiency
04

Writing

01
Why GenAI POCs fail in heavy industry (and how CN Rail was different)
The gap between a demo and a production system β€” from someone who's bridged it.
Coming soon
02
What 5–10% energy savings actually looks like with AI
Real numbers from real industrial deployments at Schneider Electric.
Coming soon
03
I built a computer vision app in 3 days before my ACL surgery
A walkthrough of ACL-Patch β€” and what MediaPipe taught me about fast prototyping.
Coming soon
04
The Foxconn to McGill to Schneider arc β€” building a career across two countries
On moving between Montreal and Beijing, and why the hybrid path is worth it.
Coming soon
05

Now

⚑
Day Job
At Schneider Electric in Beijing β€” deploying AI for energy management and industrial automation. Bridging Chinese and international teams.
🦡
Recovery
Post-ACL surgery (Jan 31, 2026). Doing the physio, tracking angles with my own app. Slowly getting back to MMA and the gym.
πŸ“ˆ
Investing
Actively investing in stocks and ETFs. Learning the markets while figuring out where the world is heading.
πŸ› οΈ
Building (Soon)
Indie hacking is on the roadmap. I have the tools, the domain knowledge, and the itch. The product idea is forming.

Last updated: June 2026

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