Praroop Anand
AI Engineer — Building Intelligent Systems

SiteSage
An AI-powered B2B prospect research pipeline that scrapes websites via Cheerio and utilizes Groq APIs to instantly extract targeting data and personalize outreach openers.
YTransformer
Built a RAG system over 500+ YouTube transcripts using semantic chunking and FAISS vector retrieval, achieving sub-200ms query response time. Reduced LLM hallucinations by ~60% via grounded retrieval.
TRACE-ATS
Built an LLM-powered system achieving 85%+ match accuracy across 100+ resume-JD pairs using semantic similarity and embedding-based retrieval. Optimized inference pipeline for 200+ req/hr.
JobFlow Engine
Designed 5+ modular n8n workflows automating job search, filtering, and ranking using LLM APIs and event-driven webhook triggers. Reduced manual effort by ~80%.
ChurnSense
End-to-end churn prediction framework on 10,000+ records. Benchmarked 4 models, achieving AUC-ROC of 0.91 with XGBoost. Surfaced top 5 churn drivers via SHAP analysis.
PriceVision
End-to-end deep learning pipeline across 1,000+ property records, R² of 0.88 and MAE within 3.5%. Deployed live on Render via FastAPI and Streamlit.
Event Coordinator — HackOasis Hackathon
Managed a large-scale hackathon with 800+ participants across 100+ teams. Led a 10-member ops team in a 24-hour high-pressure environment, ensuring 100% on-schedule execution across all 6 event phases.
B.Tech — Information Technology
Pursuing undergraduate degree in Information Technology with focus on AI/ML, Data Science, and Software Engineering.
Class XII — Computer Science (80%)
Completed senior secondary education with a strong foundation in Mathematics and Computer Science.