Hi. My name is Divya.
Welcome to my portfolio. I'm AI/ML Engineer building intelligent systems - from RAG pipelines and LLMs to scalable backend APIs. I turn complex data problems into clean, working solutions.
About Me
I'm Divya Jain, an AI/ML Engineer and Computer Science student at Jaypee University of Engineering and Technology, with real-world experience building machine learning systems that go beyond notebooks and actually ship.
I've spent the last year building at companies like TeamLease RegTech and Trustique Assist — designing compliance intelligence systems, recommendation engines, and scalable data pipelines. I love the full arc of a problem: understanding the data, choosing the right model, and wiring it into a backend that other people can actually use.
Outside of work, I compete. Hackathons, DSA contests, XR challenges — they keep me sharp and remind me that the best ideas come from building fast and iterating faster. I also lead technical workshops as Secretary of my university's VR/AR/MR Club and run coding events as Vice Chairperson of the GeeksforGeeks Student Chapter, because I believe what you learn is only half the story — sharing it is the other half.
My motto? "Build it. Break it. Make it better."
Education
B.Tech - Computer Science & Engineering
Micro Specialization in Artificial Intelligence & Machine Learning
Jaypee University of Engineering and Technology, Guna
2023 - 2027
CGPA: 8.41
Experience
TeamLease RegTech Pvt. Ltd. - Data Science Intern
June 2025 - Jan 2026
- • Developed an ML-based Smart Notification System to generate personalized compliance alerts.
- • Automated rule-based pipelines using Python to improve compliance notification efficiency.
- • Built scalable data workflows using ClickHouse and SQL to process large regulatory datasets.
Trustique Assist Pvt. Ltd. - AI/ML Intern
May 2025 - July 2025
- • Built ML-based recommendation models for government schemes using user and farm data.
- • Applied supervised learning and feature engineering to improve prediction performance.
- • Integrated ML outputs into backend APIs, enhancing system efficiency and usability.
Portfolio
Filter Projects:
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RAG-based Compliance Intelligence System
Code Repository: github.com/divya28jain/RAG-based-Compliance-Intelligence-System-with-FastAPI-BackendBuilt a Retrieval-Augmented Generation (RAG) system using FastAPI, FAISS and TinyLlama to answer compliance-related questions from PDF documents.
Processed over 1100 text chunks from a 160+ page regulatory document and implemented semantic search for accurate retrieval.
Added rule-based compliance risk detection for penalties, deadlines, and violations.
Optimized local inference to achieve an average response time of approximately 22 seconds.
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AI Travel Agent
Live Project: ai-travel-agent-pro.streamlit.app/
Code Repository: github.com/divya28jain/AI-Travel-AgentBuilt an AI-powered travel assistant that creates personalized itineraries based on destination, budget, and user preferences.
Implemented a multi-agent workflow using Agno with Gemini API and SerpAPI for contextual travel planning.
Developed a Streamlit interface with secure API key management and deployment.
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Custom Object Detection Model
Code: Google Colab
Built a fruit detection system using Faster R-CNN.
Applied image preprocessing, augmentation and hyperparameter tuning to improve detection accuracy.
Evaluated the model using precision, recall and mAP metrics.
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Dare Tiles - Augmented Reality Mobile Game
Developed an Augmented Reality game using Unity and Vuforia.
Implemented multiple image targets with randomized dare generation.
Built gameplay using Unity physics and C# scripting.
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Maze Runner
Built a 2D maze racing game using Unity.
Designed multiple levels with collision detection, physics-based movement and obstacles.
Developed gameplay logic using C#.
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VR Room Customization and Object Recognition Assistant
Designed a VR application that recognizes room objects and allows users to customize virtual interiors.
Built with Unity and C# while integrating object recognition concepts.
Certifications
Supervised Machine Learning: Regression and Classification
Stanford University • Coursera
View CertificateAchievements
🏆 Secretary - VR/AR/MR Club
Leading technical workshops, XR events, and innovation initiatives at Jaypee University of Engineering & Technology.
🚀 Vice Chairperson - GeeksforGeeks Student Chapter
Organized coding contests, technical events, and programming workshops for students across multiple domains.
💡 Hackathon Participant
Participated in multiple national-level hackathons focused on AI, ML, XR, and software development.
📚 Research Project
Developed and analyzed a Fragile Watermarking Scheme for GLB-format 3D Models with authentication and tamper detection capabilities.
🎯 Technical Workshops
Conducted and coordinated workshops on Artificial Intelligence, Machine Learning, Programming, and Extended Reality technologies.
Leadership & Campus Involvement
🚀 Secretary - VR/AR/MR Club
Organized XR workshops, technical sessions, and innovation events. Coordinated club activities and helped students explore emerging technologies such as Virtual Reality, Augmented Reality, and Mixed Reality.
💻 Vice Chairperson - GeeksforGeeks Student Chapter
Led coding contests, technical workshops, and peer-learning sessions. Encouraged students to strengthen problem-solving and programming skills.
🎤 Workshop & Event Organizer
Conducted technical workshops on AI, Machine Learning, Programming, and XR technologies while mentoring students and facilitating hands-on learning.