Computer Networks Student · Cybersecurity & Network Engineering Focus · Secure Full-Stack Development
I am a BSc (Hons) Computer Networks undergraduate at NSBM Green University, Sri Lanka, and a BIT External undergraduate at the University of Moratuwa.
My main career direction is Cybersecurity Analysis and Network Engineering. I learn through practical labs, real configurations, technical documentation, defensive security tooling, and secure software projects.
My work connects networking, cybersecurity, Linux systems, ARM64 labs, local-first workflows, and software development through practical project-based learning.
- Developing SentinelLite AI, a beta-stage defensive Linux endpoint observation and report-review CLI
- Building ARM-SecNet, an ARM64-first defensive cybersecurity lab framework for Apple Silicon
- Developing GHOST, a local-first workflow assistant for project context, sessions, handoffs, and artifacts
- Continuing NEXORA, a private full-stack game deals and giveaway discovery MVP
- Improving Linux security, endpoint observation, file integrity, rule-based detection, dashboards, and lab validation
- Strengthening Python, Rust, Tauri, React, TypeScript, Next.js, Spring Boot, GitHub Actions, and CI/CD
- Preparing for a career as a Cybersecurity Analyst and Network Engineer
SentinelLite AI is a beta-stage defensive Linux CLI for local endpoint observation, rule-based analysis, JSON alert reporting, report review, and static security dashboard generation.
🔎 Release, validation & technical details
It collects selected host facts when a command is run, applies transparent rules, assigns deterministic risk scores, writes local JSON alert reports, and presents rule-based investigation guidance.
Current release: v1.2.0-beta
Validation:
- 652 tests passed
- Ruff passed
pip checkpassed- Dashboard export works
- Python 3.11 and Python 3.14 CI validation completed
Focus:
Python · Linux Security · Endpoint Observation · Auth Logs · File Integrity · Rule-Based Detection · Risk Scoring · JSON Reports · Static Dashboard · GitHub Actions
SentinelLite AI is a local/on-demand defensive learning tool.
It is not:
- a production EDR
- antivirus
- malware removal software
- a SIEM/SOC platform
- an enterprise security platform
- a live monitoring daemon
- a public scanner
- an exploit tool
- an automatic remediation system
- a real AI/LLM-powered security agent
ARM-SecNet is a public ARM64-first defensive cybersecurity lab framework for Apple Silicon users, combining UTM-based Linux labs, defensive exercises, screenshot-backed evidence, and validation workflows.
🔎 Labs, validation & technical details
ARM-SecNet is designed for students, lecturers, and security learners who want reproducible ARM64 Linux security labs using an Apple Silicon Mac, UTM virtualization, Ubuntu ARM64, defensive exercises, and validation checks.
Current release:
v1.1.0-sentinellite-dashboard-lab
Current labs:
- Linux Baseline Investigation
- Authentication Log Analysis
- SentinelLite AI Local CLI and Static Dashboard
Validation:
- 29 passed
- 0 warnings
- 0 failures
- GitHub Actions validation CI added and passed
Focus:
ARM64 · Apple Silicon · UTM · Ubuntu ARM64 · Defensive Linux Labs · Screenshot Evidence · Lab Validation · GitHub Actions
Existing Lab 03 evidence was recorded on one Ubuntu 26.04 LTS aarch64 VM using a specific SentinelLite source commit.
The existing evidence does not validate the exact SentinelLite v1.2.0-beta wheel. Exact-release VM validation should be recorded separately in a future release or lab update.
ARM-SecNet is a defensive education and lab framework.
It is not:
- a production EDR
- antivirus
- a SIEM/SOC platform
- malware removal software
- an offensive toolkit
- a public scanner
- an automatic remediation system
- universal ARM64 compatibility proof
GHOST — GitHub, Handoff, Operations, Search, and Tracking — is a secure local-first workflow assistant built with Tauri, React, Rust, and Python for managing project context, sessions, handoffs, and artifacts.
🔎 Current capabilities, status & safety boundaries
The current public release provides a local MVP desktop checkpoint with:
- macOS Command Space cockpit
- Projects page
- Sessions page
- Memory page
- Artifacts page
- Local project/session snapshot review
- Explicit-submit local memory search
- Safe Open / Reveal actions for approved artifacts
- Python CLI workflow engine
- Project registry
- Session manager
- Output logging
- Deterministic next-step drafts
- Context pack generation
- Handoff draft generation for Codex, ChatGPT, Gemini, and Antigravity
- Update pack generation
- Doctor / validation checks
- GitHub Actions CI validation
Current public release:
v0.3.0-alpha
Status:
Public alpha / local MVP. Latest main is ahead of v0.3.0-alpha; v0.4.0-alpha is planned next.
Focus:
Tauri · React · TypeScript · Rust · Python · Local-First Workflow · Project Context · Handoffs · Artifacts · GitHub Actions
The current desktop app does not:
- run shell commands
- invoke the Python CLI
- call AI APIs
- call network services
- automatically publish
- deploy
- merge
- push
- tag
- release
The CLI remains the controlled write path, and future roadmap features are planned directions, not current implemented capabilities.
A modern responsive portfolio presenting my background, skills, projects, and career direction across cybersecurity, networking, systems, and full-stack development.
It includes full project pages for SentinelLite AI, ARM-SecNet, GHOST, NEXORA, networking/security labs, academic projects, and personal technical work.
Focus: Frontend Development · UI/UX · Personal Branding · Responsive Design · Project Documentation
NEXORA is a private full-stack game deals and giveaway discovery MVP with dashboard UI, backend API foundations, authentication flow, wishlist features, alert concepts, documentation, and CI/CD workflow usage.
🔎 Project direction & technical focus
NEXORA is designed as a secure, network-aware game deals intelligence platform concept, with future direction toward wishlist price alerts, game discovery, and assistant-supported deal monitoring.
Status: Private technical MVP
Focus:
Next.js · Spring Boot · PostgreSQL · REST API · Auth Foundation · Wishlist · Alerts · CI/CD · Product Documentation
🛡️ Defensive Security, Networking & Labs
💻 Languages, Frameworks & Databases
⚙️ Tools, Desktop & Workflow
📌 Project Highlights
| Area | What I’m building |
|---|---|
| Defensive Security Tooling | SentinelLite AI beta-stage local CLI, Linux endpoint observation, rule-based detection, deterministic risk scoring, JSON alert reports, and static dashboard export |
| ARM64 Defensive Labs | ARM-SecNet using Apple Silicon, UTM, Ubuntu ARM64, screenshot-backed evidence, and validation workflows |
| Local-First Workflow Systems | GHOST local MVP for project context, sessions, memory search, handoff drafts, artifacts, and safe desktop/CLI workflows |
| Network Security Labs | pfSense firewalling, Snort IDS/IPS, NAT, VPN concepts, controlled testing, and network security documentation |
| VoIP Systems | FreeBSD + Asterisk PBX, SIP/PJSIP, SIP-TLS, ZRTP, voicemail, IVR, and controlled VoIP lab testing |
| Full-Stack Projects | NEXORA private technical MVP, personal portfolio, Next.js frontend work, Spring Boot backend foundations, REST APIs, and authentication concepts |
| Documentation & Validation | GitHub README files, lab reports, release notes, screenshot evidence, validation scripts, GitHub Actions, and reviewer-friendly project structure |
📚 Currently Learning
- Advanced computer networking concepts
- Network security and firewall rule design
- Linux system administration and security
- Defensive endpoint observation
- File integrity monitoring and baseline comparison
- Rule-based detection, risk scoring, and JSON report design
- ARM64 Linux lab validation using Apple Silicon and UTM
- Local-first desktop workflow development with Tauri, Rust, React, and Python
- Secure web application development with Next.js and Spring Boot
- CI/CD, GitHub Actions, release assets, and technical documentation
- Cloud and infrastructure fundamentals
📊 GitHub Activity
I use GitHub to document practical labs, build full-stack projects, track development milestones, publish release checkpoints, and improve my technical portfolio step by step.
My focus is not only writing code, but also maintaining clear documentation, clean repositories, validation evidence, release notes, and reviewer-friendly project structure.
🧭 Career Direction
I am working toward becoming a Cybersecurity Analyst and Network Engineer.
My goal is to build a strong technical foundation through:
- practical networking labs
- secure system design
- defensive cybersecurity learning
- local security tooling
- ARM64 defensive lab validation
- local-first workflow tooling
- full-stack development projects
- technical documentation
- continuous hands-on practice
Networking · Cybersecurity · Defensive Security Tooling · ARM64 Labs · Local-First Workflow Systems · Secure Full-Stack Development · Technical Documentation