About Me

I am a Master's student in Computer Science at Georgia Tech working on large-scale multimodal AI systems across the full stack, from model behavior to inference infrastructure. My work is centered on a simple goal: building foundation models and AI systems that are reliable, efficient, and deployable at scale, not just impressive on benchmarks. I study how large language models and vision-language models represent information, revise decisions, use evidence, and preserve uncertainty across language, vision, and real-world signals. In parallel, I build the systems required to train, evaluate, and deploy them in practice, including GPU-optimized generation and inference pipelines, large-scale evaluation platforms, and production-grade retrieval and serving infrastructure. I am most interested in problems where frontier modeling and hard systems engineering have to coexist, especially reliable multimodal inference, evidence-grounded generation, scalable evaluation, and robust deployment under real operational constraints. I care about work that is empirically rigorous, technically demanding, and built to survive contact with real data, real workloads, and real-world failure modes. I am currently exploring opportunities in multimodal applied research, machine learning engineering, and roles where strong engineering meets advanced modeling. I am also open to software engineering and data science positions where this foundation can create impact. ---

Technical Stack

Machine Learning & AI

PyTorch TensorFlow scikit-learn NumPy Pandas 🤗 HuggingFace 🦜 LangChain ⚡ CUDA / NCCL ∿ ONNX ▶ TensorRT OpenCV

Programming Languages

Python C++ C Java TypeScript JavaScript Bash / Shell R MATLAB ■ Julia HTML CSS SQL

Cloud & Infrastructure

Google Cloud AWS Azure Docker Kubernetes Terraform Linux ⬡ SLURM / HPC ◈ Vertex AI ❏ BigQuery ▢ GCS ▣ S3 / Cloud Run

Data Engineering & Databases

Apache Spark / PySpark Apache Airflow MySQL PostgreSQL MongoDB Redis SQLite ❋ Databricks ◈ Amazon Redshift Matplotlib D3.js 📊 Tableau 📈 Power BI

MLOps & Experiment Tracking

W Weights & Biases △ MLflow GitHub Actions pytest Jupyter ◎ Ray

Web & Application Development

FastAPI Flask React Next.js Electron Node.js Vite Express ▶ FFmpeg

Tools & Version Control

Git GitHub VS Code Vim LaTeX PIL / Pillow

Yupeng Tang

Technical Stack