Computer Science Engineering Student passionate about building intelligent systems using Artificial Intelligence, Machine Learning, IoT, and Backend Technologies.

I enjoy solving real-world problems through data-driven applications, optimization systems, and automation workflows.

• 🎓 B.E Computer Science and Engineering Student
• 💻 Skilled in Python, Java, SQL, and Web Development
• 🤖 Passionate about Artificial Intelligence and Machine Learning
• 🚗 Currently developing a Vehicle-to-Vehicle Collision Prevention System
• 🔍 Interested in Intelligent Systems, Backend Development, and AI Applications
• 🌱 Actively learning RAG, LangChain, AI Agents, and Automation Workflows
• 🎯 Aspiring AI/ML Engineer focused on building practical and scalable solutions

• Python
• Java
• SQL

• HTML
• CSS
• MYSQL

• Scikit-learn
• Pandas
• Data Preprocessing
• Feature Engineering
• Model Evaluation

• Git
• GitHub
• VS Code

An intelligent vehicle safety system using Raspberry Pi, ESP32, GNSS, IMU, sensor fusion, and Machine Learning.

Key Highlights

• Real-time vehicle-to-vehicle communication
• Sensor fusion using GNSS and IMU data
• Collision risk prediction
• Machine Learning based danger scoring
• Low-latency wireless communication architecture

Developed an OCR-powered invoice processing pipeline capable of extracting structured invoice information and detecting anomalous transactions.

Key Highlights

• OCR-based data extraction
• Automated invoice validation
• Anomaly detection using Machine Learning
• End-to-end processing workflow

Built a constraint-aware route optimization system using Google OR-Tools and OSRM APIs.

Key Highlights

• Multi-vehicle route planning
• Distance optimization
• Time-window constraints
• Interactive route visualization

Designed a behavioral anomaly detection platform that identifies suspicious employee activities using Machine Learning.

Key Highlights

• User behavior analytics
• Isolation Forest anomaly detection
• Risk scoring framework
• Interactive Streamlit dashboard

• Retrieval Augmented Generation (RAG)
• LangChain
• AI Agents
• Automation Workflows
• Large Language Model (LLM) Applications
• Prompt Engineering
• Agentic AI Systems

• Artificial Intelligence
• Machine Learning
• ML Engineering
• ML Models
• AI Agents
• Intelligent Automation
• Backend Development
• IoT Systems

• 🥇 Winner - iCube Hackathon
• 🥈 Runner Up - Technovation
• 🥈 Runner Up - Neuro Nexus

📧 Email: kaarthik992005@gmail.com

💼 LinkedIn: www.linkedin.com/in/kaarthikeyan-s-7414a72b4

🐙 GitHub: https://github.com/Kaarthik0505

"Technology becomes meaningful when it solves real-world problems."