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Featured Project
RedViz: LLM Red-Teaming Visualization Framework
December 15, 2025
7 min read
Streamlit dashboard for probing LLM safety across 8 languages and 9 harm categories with live jailbreak testing and attention analysis.
Inside the case study
What RedViz Is
Why We Built It
The Data
Four Dashboard Modules
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EqRAG: Financial Stock Prediction with Fine-Tuned LLMs
LoRA fine-tuning on 7B math LLMs for Dow 30 stock prediction. Jumped from 12% zero-shot to 51.7% accuracy by training 0.19% of parameters.
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GAN-Based Synthetic Portrait Generation with Pix2Pix
Three GAN architectures (DCGAN + Pix2Pix) trained to generate anime faces from video frames. 28.5 dB PSNR, 0.91 SSIM.
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Telecom Customer Churn Prediction: ML Pipeline with Neural Networks
ML pipeline comparing five classifiers on 7,043 telecom customers. Neural network hit 0.83 AUC. Contract type was the strongest churn signal.
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News Sentiment Analysis with BERT and Web Scraping
NLP pipeline scraping Google News and classifying sentiment with fine-tuned BERT. Includes aspect-level entity extraction.
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Skin Burn Detection and Classification with YOLOv5
YOLOv5s classifying burn severity into 3 levels on 14,044 medical images. Transfer learning from COCO. Medically validated annotations. Top 5 finalist at the TiE Global Hackathon.
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Credit Card Fraud Detection
Fraud detection on 284,807 transactions with 0.172% fraud rate. Random Forest achieved 99.96% accuracy. Built without resampling.
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FIFA Ultimate Team Squad Builder: ML Optimization with Random Forest & MILP
Scraped 15,000+ FIFA player cards, predicted goals with Random Forest, and optimized squads with MILP. Acceleration beat shooting stats.
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