Hi, I'm Anuj Gupta 
MS in Computational Data Science @ Carnegie Mellon University
I build applied ML systems, from LLM fine-tuning and red-teaming to real-time computer vision. Currently researching LLM evaluation benchmarks at CMU's TEEL Lab and building an AI-powered video generation startup at the Swartz Center for Entrepreneurship.
Actively seeking Summer 2026 internships in Data Science, AI/ML, and Research.
- LLM Benchmarking Research : Developing evaluation frameworks for large language models at TEEL Lab, CMU
- AI Video Generation Startup : Building at the Swartz Center for Entrepreneurship, CMU
| Project | What It Does | Stack |
|---|---|---|
| EqRAG | LLM fine-tuning (LoRA, IA3) for financial stock prediction on Dow 30. 51.7% directional accuracy with Qwen-2.5-Math-7B | Python, PyTorch, HuggingFace |
| RedViz | Red-teaming visualization framework for LLMs. Multilingual adversarial analysis with token-level entropy across TinyLLaMA & Gemma | Python, Streamlit |
| Skin-Burn-Detection | Real-time burn severity classification using YOLOv5s on 14K labeled images. Top 5 Finalist, TiE Global Hackathon (650+ teams) | Python, PyTorch, YOLOv5 |
| Anime-GAN | Face generation with DCGAN & Pix2Pix. Dual implementations in Keras and PyTorch with full video-to-training data pipeline | Python, Keras, PyTorch |
More Projects
| Project | What It Does |
|---|---|
| Credit-Card-Fraud-Detection | ML pipeline for fraud detection on 284K transactions (0.17% fraud rate), multi-classifier comparison |
| Telecommunication-Churn-Prediction | End-to-end churn prediction with explainability dashboards (SHAP, LIME) |
- Google Cloud Certified : Associate Cloud Engineer
- AWS Certified : Solutions Architect Associate
