Feifei Li 🚀
Data Science @ Metropolitan State University | GPA: 3.9 | Two-Time 1st Place State Winner | Building Multi-Agent Systems & CV Pipelines to Bridge Systemic Gaps
I am a Data Science student driven by a single mission: Finding the "blind spots" in our systems and building the technical bridges to fix them. Whether it’s healthcare access, financial equity, or career transitions, I use data to ensure underserved groups aren't left behind.
🎖️ Competitive Benchmarks & Honors
- 1st Place Team Winner – HeatMap Hackathon (03/2026): Ranked #1 in the state for identifying geographic disparities in U.S. burn care access. Managed the technical GitHub repository and ensured project integrity through data-driven storytelling.
- 1st Place Winner – Minnesota AGENT.AI Competition (10/2025). Ranked #1 in the state for predictive accuracy and technical logic in retail banking fraud detection.
- Dean’s List & Scholarship Recipient – Recognized for consistent academic excellence.
🏆 Outstanding Projects (The "Bridges")
- AgentDS-Retail-Banking-Fraud: The real-world data and domain knowledge & logic and Python pipeline behind the 1st Place MN AGENT.AI win.
- HeatMap-Burn-Care-Access: Collaborative Hackathon project. I developed interactive mapping and data synthesis to identify gaps in healthcare services.
- Developer-Skills-Analysis: IBM Capstone. Engineered a pipeline for 70k+ records to bridge the gap between education and market demand.
- Career Orchestrator: Multi-Agent Strategy Engine: A personal AI assistant that handles the heavy lifting of job hunting—automatically auditing job requirements to save you energy, tailoring your professional persona, and acting as a live coach to bridge the gap between your skills and your next big role.
🏗️ In-Progress (Current Builds)
- Innovation Studio (Multimodal AI): 3-Month Technical Roadmap: Video-to-Critique AI Pipeline
- Month 1 (Current): Building OpenCV pipelines for pose detection and frame sampling from MP4 data.
- Goal: Bridging the gap in access to professional coaching for underserved communities.
🔮 Future Research & Pipelines
- PC-Audit-MN: Using NLP to audit litigation patterns and advocate for family court reform.
- [Empathy-Sentinel-POC]: "Humanity First" system filters to update outdated legacy logic.
📚 Learning Corner: Continuous Upskilling
I maintain a structured "Just-in-Time" learning library to bridge the gap between academic theory and industry-grade execution.
🤖 Agentic AI & LLM Orchestration
Focus: Mastering autonomous systems and prompt engineering.
- ai-agents-for-beginners - Microsoft's 12-lesson curriculum on agent architecture.
- GenAI_Agents - Advanced implementations for intelligent, interactive AI.
- Hands-On-LLMs - Practical application of Large Language Models.
📊 Data Engineering & Analytics Infrastructure
Focus: Scaling pipelines and professional visualization.
- IBM-Data-Analyst-Capstone - Analyzing tech trends using Python and SQL.
- Meta-Database-Engineer - End-to-end database design and optimization.
- Google-Advanced-Analytics - HR turnover prediction using advanced predictive modeling.
🧠 Deep Learning & Math Foundations
Focus: Understanding the "why" behind the models.
- nn-zero-to-hero - Andrej Karpathy's neural network fundamentals.
- annotated_DL_papers - 60+ implementations of deep learning papers.
- GPU-Puzzles - Learning CUDA and low-level optimization.