Raman Lok Sainadh Reddy

Developing RAG based chatbot to answer PDF-based queries using semantic retrieval and LLM-generated responses

• Building a document pipeline for text extraction, chunking, embeddings, and vector indexing using FAISS
• Implementing transformer embeddings and FAISS similarity search for context-aware document retrieval analysis
• Integrating LLM-powered generation with retrieval grounding to reduce hallucinations and improve relevance

Built a FastAPI-powered URL shortening platform with authenticated link creation, redirection, and analytics

• Implemented Base62 encoding, collision handling, and indexed lookups to achieve sub-100ms URL resolution
• Developed click-stream analytics pipelines generating daily and weekly traffic insights across shortened URLs
• Designed REST APIs and normalized MySQL schemas for scalable URL storage, retrieval, and user management

Generated 72K+ text sequences via sliding-window context extraction from unstructured textual language modeling

• Learned embeddings across 8.4K+ unique tokens for context-aware neural language modeling and prediction
• Tuned sequence length and stacked LSTM's, improving validation accuracy (5.8% to 8.4%) through experimentation
• Produced top-3 next-word recommendations through softmax inference, achieving 19.6% top-3 accuracy

SHAP, Anova, VIF Analysis

• Engineered 80+ high-dimensional features across 51k+ loan records to optimize Multi-class default risk modeling
• Mitigated multicollinearity across 80+ variables via VIF Analysis, Anova, Chi-square Tests isolating 35 indicators
• Interpreted key delinquency patterns across 4 risk tiers using SHAP, ensuring transparent algorithmic decisions

SMOTEENN, PCA

• Engineered churn prediction models, improving Macro F1-Score from 72% to 91% through imbalance handling
• Addressed severe class imbalance through SMOTEENN based hybrid resampling, noise reduction, and PCA analysis
• Mitigated categorical class imbalance, improving the Minority class algorithmic precision by 21% (68% to 89%)