Santosh vihar
Rajahmundry
AI Engineering Intern
WML IT Solutions × Aditya University
- Built Python AI pipelines using PydanticAI and Gemini to extract structured curricula and questions from academic documents.
- Developed FastAPI + OCR services with Pydantic schemas to return validated JSON for test-engine integration.
Artificial Intelligence Intern
- Developed ML solutions using Python, Scikit-learn, Pandas, and NumPy, covering data preprocessing, feature engineering, model development, and evaluation.
- Improved model reliability through performance analysis and evaluation across the ML pipeline.
GenAI-Powered Customer Churn Analysis Platform
Built ChurnIQ, an XGBoost-based churn prediction platform with an interactive Streamlit dashboard, achieving 74.6% accuracy and 0.824 ROC-AUC to flag high-risk customers for proactive retention outreach. Integrated SHAP explainability and Llama-3-powered insight generation to translate churn predictions into plain-language retention recommendations for non-technical stakeholders.
Oracle AI – Multi-AgentIntelligent Project Review System
Architected a 4-agent GenAI review system (architecture review, risk assessment, failure prediction, innovation analysis) using Groq-hosted Llama models to generate automated pre-development evaluations from uploaded project documents. Built and deployed a live Streamlit web application with PDF parsing and real-time AI-driven project evaluation
Bachelor of Technology in Artificial Intelligence & Machine Learning
Aditya University
Minor in Artificial Intelligence & Data Science
IIT Mandi
Attendee · Oct 24, 2026