Hi, I'm Nandhakumar Manikandasamy
AI Engineer & Software Developer
Master's student in Cybersecurity at Nottingham Trent University with expertise in AI/ML, software engineering, and cybersecurity. Former SDE-II at AppViewX with experience in building enterprise-scale security platforms and AI-driven solutions.
Background & Education
Combining engineering fundamentals with cutting-edge AI and cybersecurity expertise
My Story
I'm a passionate AI Engineer and Software Developer currently pursuing my Master's in Cybersecurity at Nottingham Trent University. With a strong foundation in both software engineering and artificial intelligence, I specialize in building secure, scalable, and intelligent systems.
My journey includes developing enterprise-grade security platforms at AppViewX, where I led initiatives in domain security, threat intelligence, and AI automation. I'm particularly interested in the intersection of AI and cybersecurity, exploring how machine learning can enhance security posture and threat detection.
When I'm not coding, you'll find me researching new AI architectures, contributing to open-source projects, or exploring the latest advancements in LLMs and Agentic AI.
Education
Master of Science in Cybersecurity
Nottingham Trent University
Key Courses: Ethical Hacking, Design of Secure Systems, Information Security, Digital Forensics
Bachelor of Engineering in Mechanical Engineering (Gold Medalist)
Anna University - Coimbatore Institute of Technology
Key Courses: C Programming, Python, Thermodynamics, Theory of Machines, Operations Research
Work Experience
Professional journey in AI, software engineering, and cybersecurity
Research Assistant (Engineering)
Nottingham Trent University
- •Contributing to the development of telerobotic avatar technology with haptic feedback for healthcare applications
- •Focused on robot vision and software modules, applying Pose CNN and Python-based image processing
- •Implementing object detection and tracking systems for real-time robotic control
Software Development Engineer II
AppViewX
- •Built a Centralized Domain Security and Attack Surface Management platform for enterprise domain security assessment
- •Developed a Threat Intelligence Search Optimization console (IP/FQDN) to identify digital footprints and improve threat detection
- •Implemented a Secure Integration Framework for Vendor Systems with sync-engine architecture, reducing development cycles from months to weeks
- •Designed an Application Security and Infrastructure Mapping topology view to visualize application dependencies and strengthen security visibility
- •Awarded Engineer of the Month (August 2024) and Spot Award for high-impact solutions contributing to $1.5M in customer revenue
Technical Expertise
Comprehensive skill set spanning AI/ML, software development, and cybersecurity
Languages
AI/ML & Frameworks
Web Technologies
Databases & Vector Stores
DevOps & Cloud
Cybersecurity
Featured Projects
Showcasing AI, cybersecurity, and software engineering projects
AI-Powered Malware Detection System
Novel hybrid AI system combining XGBoost and LLMs for intelligent malware detection and classification
Developed a cutting-edge malware detection system that combines traditional machine learning (XGBoost) with Large Language Models to identify and classify malware families through behavioral analysis.
Enterprise Domain Security Platform
Centralized Domain Security and Attack Surface Management platform for enterprise security assessment
Built a comprehensive security platform at AppViewX that enables enterprises to assess and manage their domain security posture proactively.
AI Genie - Workflow Automation
AI-driven solution that automates workflow generation through natural language prompts
Developed during a hackathon at AppViewX, AI Genie is an innovative solution that transforms natural language descriptions into executable workflows.
Other Projects
Enterprise Network Security Design
Complete school network architecture with security implementation in Cisco Packet Tracer
Penetration Testing Toolkit
Comprehensive web application and network penetration testing with automated reporting
Latest Articles
Insights on AI, cybersecurity, software engineering, and technology trends
Building an AI-Powered Malware Detection System
How I combined XGBoost and LLMs to create a hybrid malware detection system achieving 93% accuracy
Get In Touch
Open to opportunities in AI, software engineering, and cybersecurity. Let's connect!
Contact Information
Let's Work Together
I'm currently looking for new opportunities in AI engineering, software development, and cybersecurity. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Availability: Open for full-time positions, freelance projects, and research collaborations.