public class DhinithPragalyan {
String name = "Dhinith Pragalyan M";
String degree = "B.E - Computer Science Engineering";
String college = "Panimalar Engineering College, Tamil Nadu 🏫";
String internship = "IIT Ropar — AI & ML Research Intern (Jun 15 – Aug 2025) 🏆";
String[] passions = {
"Machine Learning 🤖",
"Artificial Intelligence 🧠",
"Fraud Detection Systems 🔍",
"Data Science & Analytics 📊",
"Full Stack + LLM Applications 🌐"
};
String[] currentlyLearning = {
"Deep Learning & CNN Architectures",
"Graph Intelligence (NetworkX)",
"LLM Integration & LangChain",
"MLOps & Cloud Deployment (AWS, Render)"
};
String goal = "Build intelligent systems that solve real-world problems 🚀";
public void dailyRoutine() {
doAIResearchAtIITRopar();
buildHackathonProjects();
solveLeetCodeProblems();
learnAndGrow();
}
}🎯 B.E CSE student at Panimalar Engineering College, deeply passionate about AI, ML & Data Science. Selected as IIT Ropar AI/ML Research Intern (Jun–Aug 2025). Built real-world fraud detection systems & AI compilers at national hackathons. I believe in learning by building.
| 🏛️ Education | B.E - CSE @ Panimalar Engineering College, Tamil Nadu |
| 🔭 Currently at | AI & ML Research — IIT Ropar (Starting June 15, 2025 · 2 months) |
| 🏆 Hackathons | IntelliTrace'26 @ VIT Chennai · Neuro Compiler @ Sathakthon 2.0 |
| 💼 Internships | IIT Ropar (AI/ML) · TANSAM (Data Analytics) · CodSoft (Data Science) · InternPro (Cloud) |
| 🌱 Learning | Graph Neural Networks, LLMs, MLOps, AWS, Vector DBs |
| 💬 Ask me about | Python, CNN, Fraud Detection, NLP, Pandas, Graph Intelligence |
| 📫 Reach me | dhinithmuruganantham@gmail.com |
|
VIT Chennai Hackathon
A real-time fraud detection platform that identifies coordinated money mule networks operating across multiple digital banking channels. 🎯 Problem Solved: Detecting coordinated fraud across Mobile Apps, Web Portals, UPI, Wallets & ATM systems simultaneously. 🔑 Key Features:
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Sathakthon 2.0 Hackathon
An AI-powered universal compiler that brings all programming languages into one platform — no more switching between tools. 🎯 Problem Solved: Students switching between multiple IDEs during lab exams and practice — inefficient, confusing, and time-consuming. 🔑 Key Features:
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Python GUI application that automatically sorts and organizes files into categorized folders with real-time progress tracking.
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ML classification model predicting passenger survival. Includes full EDA, feature engineering, and model evaluation.
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Manually implemented Naive Bayes from scratch for sentiment analysis — no library shortcuts. Full text preprocessing and evaluation pipeline.
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Modular and reusable data preprocessing pipeline using OOP principles — clean architecture for scalable ML data workflows.
|
| 🏛️ | AI & ML Research Intern — IIT Ropar |  |
| 🔍 | IntelliTrace '26 — Real-Time Fraud Detection · VIT Chennai Hackathon |  |
| 🧬 | Neuro Compiler System — AI Multi-Language Compiler · Sathakthon 2.0 |  |
| 📊 | Data Analytics Internship — TANSAM |  |
| 🤖 | Data Science Internship — CodSoft | |
| ☁️ | Cloud Computing Internship — InternPro | |
"Turning data into intelligence, one model at a time." 🔴