Final Year CSE — NHCE Bangalore
NANDAN
H N
Software Engineer · AI Researcher · Cybersecurity Enthusiast
8.02
CGPA
1
IEEE
4+
Certs
8
Modules
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Software Engineer · AI Researcher · Cybersecurity Enthusiast
I'm a Final Year Computer Science student at New Horizon College of Engineering, Bangalore — CGPA 8.02 — constantly pushing at the overlap between intelligent systems, security, and elegant software.
From publishing IEEE research on Smart Agriculture to building penetration testing toolkits under CyberFyx, I thrive on work that demands both depth and polish. Currently deep in placements and a cybersecurity internship.
An AI-powered greenhouse management system that monitors soil moisture, temperature, and humidity in real-time — triggering automated responses to maintain optimal growing conditions. Published and presented at IEEE RTET 2025.
View ResearchA comprehensive penetration testing reference covering 8 security modules — from infrastructure recon and web fingerprinting to OSINT and structured reporting. Includes website, deck, and Notion docs.
InquireAn intelligent loan advisory system with multilingual NLP support, helping users navigate financial products through natural language queries — built with Python and Flask.
Learn MoreA cinematic portfolio with dual-tone lighting, glassmorphism cards, scroll animations, and a custom cursor — built with pure HTML/CSS/JS, no frameworks.
Live SiteBuilding a complete penetration testing toolkit covering 8 security modules — infrastructure recon, network scanning, web fingerprinting, endpoint discovery, CMS vulnerability analysis, security header analysis, OSINT, and reporting frameworks.
Published and presented research on AI-driven greenhouse management systems at an IEEE-affiliated conference, demonstrating real-world application of ML in precision agriculture.
Provided technical support and troubleshooting, gaining hands-on experience with system diagnostics, client communication, and issue resolution workflows.
Core CS — OS, DBMS, CN, DSA, OOP, Software Engineering — alongside applied ML, web development, and cybersecurity. Active in placement preparation and peer collaboration.
This paper presents an intelligent greenhouse management architecture integrating IoT sensors, real-time data monitoring, and machine learning models to automate climate control, irrigation, and resource optimization — demonstrating measurable improvements in crop yield and water efficiency through automated decision loops.