💼 Engineer @ Auerbach Grayson — building data infrastructure & AI systems for global financial markets
🎓 MS Computer Science @ Virginia Commonwealth University (VCU) — GPA: 3.80
💡 Focused on Data Engineering, RAG pipelines, and Applied AI — from ingestion and transformation to semantic search and AI-powered interfaces
⚙️ Currently building golden record data systems, event-driven pipelines, and research modernization tools at a global institutional brokerage firm
📫 Reach me at tejeshannavarapu1804@gmail.com

Category	Technologies
Data Engineering
AI / RAG
Backend & APIs
Cloud & Infra
BI & Visualization
Tools

• RAG Document Pipeline — Clinical Data Extraction
  End-to-end retrieval pipeline at VCU Health — ingests unstructured clinical slide images, extracts structured metrics via Claude Vision API, feeds clean outputs into an XGBoost classifier for uroflowmetry waveform classification. Targeting ~85% accuracy across six clinical categories.

• Personal Identifiable Information (PII) Data Masker
  AI-powered privacy tool using spaCy + OpenCV + Flask that detects and masks PII in text and images across 100K+ records. Reduced manual review by 40%.

• AI Enterprise Automation System
  Agentic RAG assistant using the Claude API — ingests bid and project data, builds a retrievable knowledge layer, and generates natural language responses for pipeline status, deadline risks, and follow-up drafts.

• Inventory Forecasting & Management System
  Database-driven forecasting system using Flask, MySQL, and ARIMA/RF models to predict inventory demand and optimize stock levels.