I'm an undergraduate Cybersecurity student, building toward research and career opportunities at the intersection of network/systems security and applied machine learning (AI Security).
- 🔐 Focused on network security fundamentals — routing, OSPF, and enterprise topologies on Huawei VRP CLI (AR routers, S3700 switches)
- 🤖 Studying ML fundamentals (NumPy, Pandas, scikit-learn) with an eye toward AI Security applications
- 🐧 Learning Kali Linux and offensive-security basics
- 🧠 Long-term goal: work internationally in cybersecurity, combining hands-on security engineering with AI/ML-driven defense
Open To: undergraduate research collaborations · cybersecurity internships · AI Security study groups · networking/security mentorship
Languages
Data & Machine Learning
Networking & Security
Tools
| Domain | Status | Details |
|---|---|---|
| ML Fundamentals | 🟣 Learning | NumPy, Pandas, scikit-learn — core data handling and classical ML models |
| AI Security | 🟣 Learning | Working through AttackIQ Academy's Foundations of AI Security; exploring adversarial ML and model-security concepts |
| Applied AI Agents | 🟢 Completed intro | Built a data-analyst AI agent as part of coursework/self-study |
| Security Automation | 🟣 Learning | Exploring AI-assisted approaches to blue-team workflows (Security Blue Team BTJA pathway) |
🧰 Cybersecurity Toolkit (Python CLI Security Tools)
A growing collection of small, standalone command-line cybersecurity tools, each in its own folder, built to learn core security concepts hands-on.
| Aspect | Detail |
|---|---|
| Stack | Python (standard library + dnspython, psutil) |
| Tools | TCP port scanner, DNS record lookup utility, Caesar cipher encrypt/decrypt/brute-force tool, process-based keylogger detector |
| Design | Each tool is fully standalone — own README, own requirements.txt, no shared dependencies |
| Focus | Socket programming, DNS internals, classical cryptography, heuristic threat detection |
| Learning Outcome | Practical, tool-by-tool foundation across networking, crypto, and defensive security — structured to keep expanding with more advanced tools over time |
🎣 ML-Based Phishing URL Detector
A machine learning classifier that flags likely phishing URLs using lexical and structural features extracted from the URL itself (no live page content needed).
| Aspect | Detail |
|---|---|
| Stack | Python, scikit-learn, Pandas, NumPy |
| Scope | 15 lexical/structural URL features (length, special characters, subdomain count, HTTPS usage, suspicious keywords, IP-as-host, shortener detection), Random Forest / Logistic Regression training with accuracy/precision/recall/F1 evaluation |
| Focus | Applying classical ML to a real security detection problem, entirely offline (no live page requests) |
| Learning Outcome | First hands-on bridge between the Cybersecurity and AI Security tracks — a foundation for later adversarial-ML and model-security work |
🌐 Multi-Site Enterprise Network (eNSP / Huawei VRP)
Designed and configured a simulated multi-site enterprise network (HQ, Branch 1, Branch 2) to practice enterprise routing and network design.
| Aspect | Detail |
|---|---|
| Stack | Huawei eNSP, VRP CLI, AR-series routers, S3700 switches |
| Scope | Single-area OSPF, multi-site routing, route summarization |
| Focus | Routing efficiency, topology design, convergence behavior |
| Learning Outcome | Hands-on enterprise routing/switching fundamentals used as a foundation for network security work |
A self-directed lab project built to reinforce networking theory with practical, router-level configuration experience ahead of pursuing network security specializations.
🏪 Internet Cafe Management System (C++)
A console-based management system refactored into an object-oriented architecture as part of a university lab report.
| Aspect | Detail |
|---|---|
| Stack | C++, OOP design principles |
| Scope | Refactor from procedural to class-based architecture |
| Focus | Encapsulation, class design, maintainable structure |
| Learning Outcome | Practical application of OOP concepts beyond textbook exercises |
Networking & Systems Coursework
Hands-on coursework spanning networking, systems design, and applied programming.
- Completed enterprise routing/switching labs on Huawei VRP CLI (OSPF, route summarization, multi-site topologies)
- Completed OOP and Python Essentials lab assignments
- Participated in a Microsoft Photoshop/NAVTTC practical exam track
Networking OOP Python Lab Documentation
| Recognition | Details |
|---|---|
| Junior Cyber Defender | Government-affiliated certification (PKCERT) |
| Huawei HCIA-Datacom V1.0 | Enterprise networking certification |
| Huawei HCIA-openEuler V1.0 | Linux/OS-focused certification |
| Deloitte Cyber Job Simulation | Completed via Forage |
| Microsoft Agents League Hackathon | Registered participant |
| EC-Council CCT Scholarship | Applicant |
Huawei
Cisco
Other Providers
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learning:
- Machine Learning fundamentals (NumPy, Pandas, scikit-learn)
- AI Security (AttackIQ Academy, adversarial ML concepts)
- Kali Linux & offensive security basics
- Security Blue Team BTJA pathway
building:
- Enterprise routing labs on Huawei VRP (OSPF, route summarization)
exploring:
- CompTIA Security+ and CEH as next certification targets
- TryHackMe / Hack The Box practice rooms
open_to:
- Research collaboration
- Cybersecurity internships
- Study groups in AI Security