CSE professional skilled in Java, Python, AI/ML, Generative AI, and Full Stack Development.
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Computer Science & Engineering • 2028
B.E in Computer Science • Sep 2024 - May 2028
Pursuing a Bachelor of Engineering (B.E.) in Computer Science and Engineering at V.S.B College of Engineering Technical Campus (2024–2028), with a strong focus on software development, Artificial Intelligence, Machine Learning, data analytics, and emerging technologies. Building practical expertise through academic projects, internships, and continuous problem-solving practice.
HSLC in BIO/MATHS • May 2026 - Apr 2024
Successfully completed Higher Secondary Education (12th Standard) with a focus on Computer Science and an HDCA (Honours Diploma in Computer Applications), building a strong foundation in programming, computer applications, and information technology.
Code Tech • May 2026 - Jun 2026
Worked as a Java Developer, developing and enhancing software applications using Java and object-oriented programming principles. Gained hands-on experience in writing clean, efficient code, debugging applications, implementing features, and solving programming problems while following software development best practices.
Code Tech • May 2026 - Jun 2026
Worked as a Full Stack Developer Intern, contributing to the development of responsive web applications using modern frontend and backend technologies. Gained hands-on experience in building user interfaces, developing APIs, integrating databases, debugging applications, and implementing scalable software solutions while following industry best practices.
RakshaNet is an Agentic AI-powered disaster management platform designed to support real-time disaster preparedness, risk assessment, and emergency response. It uses AI-driven agents to analyze critical information, identify potential risks, coordinate response activities, and provide timely alerts and actionable insights. The platform integrates real-time monitoring, interactive mapping, and automated communication to help authorities and communities make faster, data-driven decisions during emergencies.
Developed an AI-driven IoT security system that dynamically evaluates sensor reliability using data accuracy, consistency, and behavioral patterns. The system assigns adaptive trust scores to IoT devices and identifies faulty or potentially malicious sensors in real time, helping ensure that only trustworthy sensor data is used for reliable and secure IoT operations.
SATHIYAMOORTHI S has not shared any experiences yet.
