Projects

A showcase of my work in AI, product management, and software development. These projects represent my passion for building innovative solutions that solve real-world problems.

🚀 Featured Projects

AI-Powered Content Assistant

Category: Natural Language Processing | Status: Production

Overview: Built a comprehensive content generation platform using fine-tuned language models
Technologies: Python, Transformers, FastAPI, React, AWS
Achievements:
- 10x increase in content production speed
- 95% quality satisfaction score
- Reduced content creation costs by 60%
Innovation: Custom fine-tuning pipeline that adapted to brand voice and style guidelines

Smart Recommendation Engine

Category: Machine Learning | Status: Deployed

Overview: Developed a hybrid recommendation system combining collaborative filtering and content-based approaches
Technologies: PyTorch, Pandas, Redis, Kubernetes
Achievements:
- 40% increase in user engagement
- 25% improvement in click-through rates
- Real-time personalization for millions of users
Innovation: Cold-start problem solution using knowledge graphs

Computer Vision Quality Control

Category: Computer Vision | Status: Production

Overview: Automated quality inspection system for manufacturing defects
Technologies: OpenCV, YOLO, TensorFlow, Edge Computing
Achievements:
- 99.2% detection accuracy
- 80% reduction in manual inspection costs
- 24/7 operation capability
Innovation: Edge deployment for real-time processing with minimal latency

🛠️ Open Source Contributions

LangChain Extensions

GitHub: github.com/qingyi/langchain-extensions (opens in a new tab)

Description: Additional tools and integrations for the LangChain framework
Features: Custom document loaders, specialized retrievers, enhanced memory systems
Impact: 500+ stars, 100+ forks, active community engagement

AI Ethics Toolkit

GitHub: github.com/qingyi/ai-ethics-toolkit (opens in a new tab)

Description: Framework for implementing ethical AI practices in development
Features: Bias detection, fairness metrics, explainability tools
Impact: Used by 50+ organizations for responsible AI development

📊 Technical Prototypes

Multimodal AI Assistant

Technology Stack: GPT-4 Vision, Whisper, LangChain

Description: AI system that can understand and process text, images, and audio
Applications: Customer service, content analysis, accessibility tools
Status: Research prototype, exploring commercial applications

Real-time Translation System

Technology Stack: Transformer models, WebRTC, Edge Computing

Description: Low-latency video translation with subtitle generation
Innovation: Optimized for real-time conversation scenarios
Potential: Breaking language barriers in global communication

🎯 Product Management Case Studies

AI Feature Launch Strategy

Company: Fintech Startup | Timeline: 6 months

Challenge: Introduce AI-powered financial insights without compromising user trust
Approach: Gradual rollout with extensive user education and feedback loops
Results: 85% user adoption rate, 4.8/5 satisfaction score, featured in industry publications

Enterprise AI Adoption Framework

Company: Healthcare Technology | Timeline: 12 months

Challenge: Integrate AI into existing clinical workflows while maintaining compliance
Approach: Co-development with medical professionals, phased implementation
Results: 30% improvement in diagnostic efficiency, maintained 99.9% accuracy rate

🏆 Awards & Recognition

Industry Awards

AI Innovation Award - TechCrunch Disrupt 2023
Best Product Design - Product Hunt Golden Kitty Awards
Open Source Contributor of the Year - GitHub Stars 2023

Media Features

Forbes: "How AI is Revolutionizing Content Creation"
TechCrunch: "The Future of Personalized Recommendations"
VentureBeat: "Ethical AI in Practice: A Success Story"

🔬 Research & Development

Academic Collaborations

Stanford AI Lab - Research on efficient transformer architectures
MIT Media Lab - Human-AI interaction studies
Berkeley AI Research - Work on fairness and bias in ML systems

Patents & Publications

Patent: "Adaptive Fine-tuning System for Domain-Specific Language Models" (US2024/015678)
Paper: "Responsible AI Product Management: A Framework for Ethical Innovation" (ICML 2023)
Article: "Building Trust in AI-Powered Products" (Harvard Business Review)

🛠️ Technical Stack & Tools

Core Technologies

# My go-to stack for AI projects
ai_stack = {
    "languages": ["Python", "TypeScript", "SQL"],
    "frameworks": ["PyTorch", "TensorFlow", "LangChain", "FastAPI"],
    "deployment": ["Docker", "Kubernetes", "AWS", "Vercel"],
    "databases": ["PostgreSQL", "MongoDB", "Redis", "Pinecone"],
    "monitoring": ["Prometheus", "Grafana", "Weights & Biases"]
}

Development Workflow

Version Control: Git + GitHub Actions for CI/CD
Testing: Pytest, Jest, integration testing with synthetic data
Documentation: Comprehensive docs with automatic generation
Code Quality: Type hints, linting, code reviews, security scanning

🚀 Current Projects

In Development

AI Agent Framework - Building reusable components for autonomous AI systems
Multimodal Search - Semantic search across text, images, and video content
Edge AI Platform - Tools for deploying AI models on resource-constrained devices

Exploratory Work

Quantum computing applications in machine learning
Neuroscience-inspired AI architectures
Sustainable and energy-efficient AI systems

📈 Project Metrics & Impact

Performance Indicators

User Engagement: Average 45% increase across AI-powered features
Business Impact: $5M+ in revenue generated through AI initiatives
Operational Efficiency: 60% reduction in manual processing time
Quality Improvement: 99.2% accuracy in AI-driven decision systems

Learning & Growth

Technical Skills: Mastered 15+ new technologies in the past 2 years
Industry Knowledge: Certified in AWS ML, Google Cloud AI, and Microsoft Azure
Community Impact: Mentored 50+ junior developers and PMs

💡 Looking Ahead

Future Focus Areas

AGI Safety - Contributing to safe and beneficial AGI development
AI Democratization - Making AI accessible to non-technical users
Climate Solutions - Applying AI to environmental challenges
Healthcare Innovation - Improving patient outcomes through AI

Collaboration Opportunities

I'm always open to collaborating on interesting AI projects, especially those that have the potential to make a positive impact on society. If you're working on something exciting or need expertise in AI product management, let's connect!

Each project represents not just technical achievement, but a step toward making technology more human-centered and beneficial.

AI Product Management Blog