Name     : Poornima Vaidya
Role     : AI Engineer | Data Engineer
Degree   : M.S. Computer Science @ WMU (GPA: 3.7)
Status   : Open to Full-time Opportunities
Location : United States

• 🔭 Building RAG Pipelines and Agentic AI systems
• 🏆 Reduced a 2-hour ETL pipeline to 10 minutes at IBM
• 🤖 Slashed underwriting review time from 10 hrs → 5 mins using GPT-4
• 📖 Published researcher in AI + VR Education (2026)
• 💬 Ask me about LLMs, Data Engineering, MLOps, ETL
• 📫 Reach me: poornimavaidya2910@gmail.com
• ⚡ Fun fact: I mentored 3 engineers at IBM & increased deployment velocity by 30%!

• Engineered high-scale ETL pipelines managing 100K+ records across Oracle EBS suite for a 51,000+ employee global client
• Containerized legacy systems using Docker & Python; reduced execution latency by 98% (2 hrs → 10 mins)
• Automated CI/CD pipelines using Git & Shell, boosting deployment velocity by 70%
• Built anomaly detection system in Python reducing data errors by 60%
• Mentored 3 associate engineers; recognized by IBM leadership for outstanding contribution

• Architected a RAG pipeline using LangChain, GPT-4 & PostgreSQL — slashed underwriting review from 10 hrs → 5 mins
• Built a full-stack AI chatbot in React & Python using NLP and NER to autonomously handle loan inquiries
• Developed an "Agent Builder" app enabling 30+ stakeholders to deploy custom AI tools from project charters
• Improved Power BI reporting accuracy by 40% across 100+ evaluations using automated data pipelines

• Co-authored published paper: Gamified Immersive Learning Experiences for Promoting AI Readiness across STEM Disciplines (2026)
• Integrated real-time ML model behavior into Unity & C# VR systems, improving student engagement by 30%
• Built ML models in Python (TensorFlow, PyTorch) for classification, predictive analytics and EDA

Collaborated with a large team under NASA's open science initiative

• 📡 Analyzed the 2024 Maui floods using NASA GPM IMERG and MODIS satellite data
• 🗺️ Delivered flood-risk maps and animations for vulnerable communities and city planning
• 🐍 Stack: Python · pandas · xarray · geopandas · rasterio · matplotlib · OpenStreetMap · U.S. Census Data

Relevant Coursework: Generative AI · Advanced Artificial Intelligence · Machine Learning · Pattern Recognition · Big Data · DBMS

• ✅ Microsoft Certified: Azure Fundamentals (AZ-900)