👋 Hey there, I'm
Vineet Patel
Applied AI Engineer
🎓 Applied AI Student @ IIT Jodhpur
I build production-ready AI systems that solve real-world problems. I work across Generative AI, RAG systems, Agentic AI, and Machine Learning — always with an emphasis on production-ready, real-world impact.
Building AI That Actually Works
I build production-ready AI systems that solve real-world problems. My work focuses on Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and Machine Learning, with an emphasis on designing scalable, reliable, and user-centric applications. I enjoy combining software engineering principles with modern AI technologies to transform complex ideas into practical products that create real impact. As an Applied AI student at IIT Jodhpur, I'm continuously exploring emerging AI technologies, contributing through hands-on projects, and striving to build systems that are not only intelligent but also production-ready.
My Engineering Philosophy
I believe AI should solve real problems—not just generate impressive demos. My goal is to build reliable, production-ready AI systems that users can trust and businesses can deploy with confidence.
Experience
AI Engineer Intern
Nov 2025 – Dec 2025Euron
Remote
- Architected a Retrieval-Augmented Generation (RAG) system using LangChain, vector embeddings, and custom prompts to deliver verifiable, context-aware AI responses with improved trustworthiness.
- Developed and deployed a scalable FastAPI/Streamlit application on AWS (EC2, ECR) using Docker containerization and GitHub Actions CI/CD automation.
- Integrated Pinecone Vector DB to implement high-dimensional semantic search, enhancing retrieval context quality and significantly reducing hallucination rates.
Project Coordinator Trainee
Apr 2022 – Aug 2022SunShare Energy LLP
Pune, India
- Orchestrated cross-functional technical workflows between engineering, supply chain, and regulatory bodies, ensuring 100% compliance with complex project guidelines.
- Optimized solar asset performance and project ROI by identifying generation data anomalies and translating complex technical metrics into actionable insights for stakeholders.
Projects
Production-ready AI systems and data science solutions built to solve real-world problems.
FinEduGuide AI Assistant
AI-powered financial education assistant built with Retrieval-Augmented Generation (RAG) to deliver accurate, context-aware responses using trusted financial knowledge sources.
Credit Card Default Prediction
End-to-end ML pipeline for predicting high-risk credit card defaulters, nearly tripling model recall from 19% to 52% using SMOTE class balancing and XGBoost.
Telecom Customer Churn Analytics
Business analytics project that identified customer churn drivers across 7,000+ records, quantified ~$139K monthly revenue loss, and delivered actionable retention strategies via Power BI dashboards.
Books Recommender System
Personalized book recommendation system using collaborative filtering and similarity analysis to suggest relevant books based on user preferences.
Amazon Reviews Sentiment Analysis
NLP pipeline for automatically classifying Amazon product reviews into positive and negative sentiments using TF-IDF vectorization and machine learning classifiers.
Click any card to view the full case study · 5 projects shown
Browse All ProjectsSkills & Technologies
Tools and frameworks I use to build production-grade AI systems and data solutions.
Education
Bachelor of Science (BS) in Applied AI and Data Science
Indian Institute of Technology (IIT) Jodhpur
Jodhpur, India · Expected 2027
Diploma in Electrical Engineering
Veermata Jijabai Technological Institute (VJTI)
Mumbai, India · 2021
Let's Build Something Together
I'm always open to discussing exciting AI/ML projects, research collaborations, or just having a great conversation about the future of AI.
Mumbai, Maharashtra