Chengyu

About Me

Experienced AI professional specializing in research and application. Leveraging expertise to drive impactful technological advancements and improve business outcomes.

Who I Am

I'm Chengyu Li, currently pursuing my Master's in Artificial Intelligence at Northeastern University with a perfect 4.0 GPA. I'm passionate about building AI systems that create meaningful impact in the real world.

My research interests focus on Gen AI, AI Agent, Health Informatics and LLM sociality. At the intersection of GenAI technology and social impact, I'm committed to building AI systems that empower humans rather than replace them.

Professional Experience

Harvard University

Research Intern | Sep 2025 - Present | Boston, MA

  • Analyzing economic return on investment of large-scale public health programs globally
  • Conducting systematic analysis to evaluate policy adoption and global collaboration of novel public health research
  • Mapping and evaluating global cancer research investment trends (2000-2025) through data analysis and NLP

KPMG China

Gen AI R&D Intern | May 2025 - Aug 2025 | Nanjing, China

  • Participated in 5+ enterprise-level digital transformation projects using LLM and Gen AI
  • Implemented advanced RAG systems with LangChain, RagFlow, FastAPI, and Milvus
  • Optimized RAG systems using Semantic Chunking and Hierarchical Index, improving Top 20 accuracy by 20% and reducing latency by 50%
  • Built and containerized MCP servers and LLM Agent workflows with FastMCP and Docker
  • Contributed to KPMG's next-generation AI platform integrating Qwen, DeepSeek with vllm

Northeastern University

GUI Agent Safety Research Assistant | Mar 2025 - Sep 2025 | Boston, MA

  • Investigated GUI Agent safety vulnerabilities with PyTorch
  • Constructed large-scale safety benchmarks through advanced prompt engineering
  • Implemented distraction analysis using ViT models to assess agent robustness
  • Optimized AWS Architecture, reducing costs from $300 to $150/month while maintaining performance

Conlight Medical

LLM Engineer Intern | Dec 2023 - May 2024 | Shanghai, China

  • Developed end-to-end LLM chatbot for mental health using Python, FastAPI, and MongoDB
  • Led dataset construction and preprocessing of 50K+ anonymized clinical records
  • Implemented SFT and RLHF training using Llama Factory, improving model alignment
  • Deployed B2B and B2C Web demos using vllm for low-latency inference

Education

Northeastern University

Master of Science, Artificial Intelligence | Sep 2024 - Dec 2026 | Boston, MA

GPA: 4.0/4.0

Coursework: Advanced Machine Learning, Deep Learning, Large Scale Data Processing, LLM Based Dialogue Agent, Algorithms

Nanjing Normal University

Bachelor of Engineering, Computer Science | Sep 2020 - Jun 2024 | Nanjing, China

GPA: 3.84/4.0

Coursework: Distributed System, Object Oriented Programming, Linear Algebra, Probability and Statistics, Discrete Mathematics

Projects

Haper-IO | LLM Based Email Agent System

  • Designed LLM-powered Email Agent using GPT-4 API, Redis caching, and PostgreSQL
  • Optimized LLM memory management by implementing Memory Bank and simulating forgetting curve
  • Reduced redundancy storage by 30% and improved long-term contextual accuracy by 20%
  • Implemented intelligent priority classification using LLMs learning user preference

National Innovative Entrepreneurial Projects | Computer Vision System

  • Led team of 4 developing intelligent detection system using YOLOv5, OpenCV, and Python
  • Implemented vehicle detection and tracking processing 30 FPS with 95% accuracy
  • Designed lane recognition algorithm combining morphological features and Hough line detection
  • Delivered system serving 200+ users in production environment

Technical Skills

Programming Languages

Python, C++, Java, SQL, Go, TypeScript, Node.js

AI/ML Frameworks

LLM Fine-tuning (SFT, RLHF, LoRA, Quantization), vllm, Ollama, LangFlow, RagFlow, Dify, FastMCP, RAG, Prompt Engineering

Cloud & DevOps

AWS, Docker, Kubernetes, Git, CI/CD, Linux, Redis, Gradio

Databases & Tools

MongoDB, PostgreSQL, MySQL, Milvus, Elasticsearch, Power BI, FastAPI, REST API

Certifications & Honors

  • AWS Certified Solutions Architect - Associate
  • MIT Sloan Executive Certificate - Digital Business
  • National 3rd Prize - Chinese Collegiate Computing Competition

Publications & Patents

  • Swin-TransUper: Swin Transformer-based UperNet for Medical Image Segmentation
  • VR Based Chinese Medicine Culture Themed Garden for community education

What's Next

I'm currently looking for PhD opportunities to work on LLM sociality , Network Science, and responsible AI. I'm also interested in bridging the gap between technical AI research and real-world impact, building AI systems that truly empower humans in meaningful ways.