- I am a Master’s student specializing in Machine Learning (ML) and Artificial Intelligence (AI), currently seeking a full-time position in NLP, Multimodal AI, or Agentic AI.
- I have hands-on experience with Large Language Models (LLMs), Computer Vision (CV), and Deep Learning (DL), and I am conducting my master’s thesis on Multimodal AI. I aim to apply my background in LLMs and multimodal systems to build intelligent, language-driven, and adaptive AI solutions.
- Python, Java, C, C++
- MySQL, PostgreSQL, MongoDB, Redis, Neo4j, Vector Databases (FAISS / Chroma)
- HTML / CSS, JavaScript, Vue.js
- Spring, Spring Boot, Spring MVC, Django, RESTful API
- PyTorch, Scikit-learn, NumPy, Pandas, SciPy, Matplotlib
- Docker, Git, CI/CD, Linux (Ubuntu), Azure, HPC (High-Performance Computing)
- Large Language Models (LLMs): GPT, LLaMA, Qwen
- LLM Techniques: Prompt Engineering, RAG (Retrieval-Augmented Generation), Fine-tuning (LoRA, QLoRA)
- Agent AI: ReAct, Tool/Function Calling, Multi-step Reasoning & Planning, Autonomous Workflow Execution, LLM-powered Tool Integration
- Multimodal AI: OCR, Whisper (Speech-to-Text), TTS, BLIP (Image Captioning), CLIP (Vision-Language Embedding), Video & Image Processing (OpenCV, FFmpeg)
- Vector Databases: FAISS, Chroma
- AI Orchestration: LangChain
- Email: [email protected]
- GitHub: github.com/mengqing-hu
- LinkedIn: linkedin.com/in/mengqinghu