Yutong Lyu

Short Bio

Hi, I'm Yutong—an inquisitive University of Michigan Data Science major (May 2026) who turns complex systems into approachable tools. Recently, I shipped optimization pipelines as a Software Engineering Intern at Shenzhen Taikejia Technology and prototyped playful generative-art experiences with cross-disciplinary design partners.

My sweet spot lives at the intersection of machine learning, optimization, and thoughtful UX. Whether I'm profiling a branch-and-bound solver, tuning a hybrid CNN–ViT model, or curating travel photo essays, I chase outcomes that are rigorous, kind, and creative.

Education

  • University of Michigan — B.S. Data Science (Expected May 2026)
    Ann Arbor, MI
  • Guangdong University of Finance & Economics — B.Econ. Finance Engineering
    Guangzhou, China · Sep 2022 – Jun 2024

Technical Skills

Program Leadership

Research sprint coordination, cross-functional scheduling, requirements tracking, risk mitigation.

Languages

Python, C++, Java, JavaScript, R, SQL, LaTeX.

Data & Systems

PyTorch, NumPy, Pandas, MATLAB, STATA, Git, Linux/Unix workflows.

Human Languages

English, Mandarin Chinese, Cantonese.

Hobbies & Interests

Photography

Exploring light, color, and quiet moments through street and travel photography.

Music

Curating playlists and discovering indie artists that inspire new creative moods.

Badminton

Staying active with fast-paced rallies and the teamwork that comes with doubles play.

Fitness

Balancing busy weeks with strength training and mindful movement.

Volunteering

Giving back through community initiatives that support education and equity.

Projects

Each build starts as a playful sketch in my notebooks—then becomes a living system I can ship, measure, and iterate on. Here are a few capsules from that design-to-deployment arc.

Optimization

MIPSolver

A cross-platform branch-and-bound solver with pybind11 bindings so analysts can prototype models in Python, then burst into C++ performance when it’s time to ship.

Branch & Bound C++ pybind11
Community

Dynamic Social Platform

React + Flask experience with real-time feeds, infinite scroll, and async rendering—designed so stories stay on screen while data flows from modular REST endpoints on AWS.

React Flask AWS EC2
Vision

Dog Breed Classifier

Hybrid CNN + ViT pipeline trained on 8,867 labeled photos, reaching 93% validation accuracy with focal loss tuning, mixup augmentation, and model explainability overlays.

PyTorch ViT Model Explainability
Design Demo Moodboard from a generative art experience design demo

Generative Playground Moodboard

A visual demo board that captured motion studies, color stories, and UI beats for a generative art experience before translating the system to engineering specs.

Creative Direction Generative Art UX Motion
Insight

Population Forecast Dashboard

R Shiny environment for UN demographic planning with scenario toggles, quick-glance summaries, and narrative annotations for policy partners.

R Shiny Data Viz Scenario Modeling

Experience

Software Engineering Intern · Shenzhen Taikejia Technology Co., Ltd.

Jul 2025 – Aug 2025 · Shenzhen, China

  • Maintained Python automation pipelines for daily optimization model runs, cutting a critical script’s runtime by 40% on benchmark datasets.
  • Integrated Gurobi and COPT solver APIs with reporting utilities to visualize 15+ performance metrics, streamlining decision reviews.
  • Triaged and resolved 30 cross-functional bug and feature requests to keep research deliverables on track.

Research Team Leader · Jiangdong Tourism Data-Driven Poverty Study

Nov 2023 – May 2024 · Guangdong University of Finance & Economics

  • Directed end-to-end survey design, field interviews, and statistical modeling to produce actionable tourism funding insights.
  • Delivered geo-spatial dashboards and recommendations adopted by faculty partners and local stakeholders.

News

  • Aug 2025 – Wrapped up Software Engineering Internship at Shenzhen Taikejia Technology Co. 🇨🇳
  • Jul 2025 – Released MIPSolver benchmarks and documentation for broader research use 📊
  • Fall 2025 – Presented dynamic social media app and dog breed classifier in Michigan data science showcase 🚀
  • Nov 2024 – Shared population forecast dashboard with policy partners for scenario planning 📈
  • May 2026 – Expected graduation from the University of Michigan with a B.S. in Data Science 🎓

Blog & Insights

I log the playbook behind the site—strategy, design, and launch routines that help me stay intentional while shipping quickly.

Strategy 5 min read

Building a Purposeful Personal Site

How I prioritize the essential pages—homepage, about, portfolio, resume, and contact—before layering on extras like testimonials or services.

Planning Prioritization
Read notes
Design 4 min read

Gradient Systems & UX Flow

Thoughts on pairing warm sunrise gradients with twilight palettes, structuring navigation, and keeping mobile-first layouts feeling immersive.

Design Accessibility
Peek inside
Launch 6 min read

Ship, Share, Iterate

A launch checklist that covers social integrations, SEO foundations, testing loops, and the habit of updating before things feel “perfect”.

Launch SEO
See checklist

Contact

Email: yutonglvv@gmail.com

Email: yutonglv@umich.edu

Email: yutonglv@outlook.com

GitHub: https://github.com/lytreallynb

Portfolio: https://lytreallynb.github.io

LinkedIn: https://www.linkedin.com/in/yutong-lyu

CV: Download PDF

Languages: Mandarin Chinese, Cantonese, English

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