Offensive security
Penetration testing on web applications & network services, from reconnaissance through exploitation to a written report with prioritised remediation advice. Certified as a junior penetration tester with eJPT.
Artificial Intelligence Engineer Intern at SQL VIEW
Wynston Wong
Wynston Wong
Jun De
AI Engineer Intern at SQL VIEW
I build AI tooling by day at SQL VIEW & study Cybersecurity & Digital Forensics at Ngee Ann Polytechnic, specialising in the AI & Machine Learning track. My interest sits where the two overlap: reading logs & memory dumps for the story an attacker left behind, then building the agents & models that get to the answer faster next time. I found information technology at thirteen, moved to Linux soon after, & have been dual-booting & living in virtual machines ever since.
eJPT
Certified junior penetration tester, 2026
2x 1st
A-YCEP & Temasek Polytechnic CTFs
33
Public projects across security & ML
AI Intern
SQL VIEW, since September 2026
About
Secure systems, intelligent detection
I am a third-year student at Ngee Ann Polytechnic studying Cybersecurity & Digital Forensics, & I currently work as an Artificial Intelligence Engineer Intern at SQL VIEW. I have a passion for nearly all things digital & scientific: security, information technology, programming, Linux, robotics & STEM. It began as a general interest in STEM before I found my call in information technology at thirteen, & it has not slowed down since.
Digital forensics
Mock investigations carried out in class & on my own hardware: evidence acquisition, file system & memory analysis, deleted file recovery & forensic reporting, all following proper evidence handling procedure.
AI engineering & agentic systems
At SQL VIEW I build self-hosted AI agent projects for internal systems: chat interfaces over internal workflows & real-time company queries, a knowledge base that maintains itself over internal documents, plus the model tuning & output testing that keeps answers reliable. The same thread runs through my own work, from a RAG pipeline built from scratch to log-based anomaly detection on the HDFS dataset.
Selected work
Projects worth a look
Everything I build is public on GitHub, from a two-factor AES-256 vault to a pipeline that turns raw authentication logs into an attacker timeline. These are the ones I would walk through in an interview.
pyvault
An AES-256 file encryptor that requires two separate passwords before it will decrypt anything, so a single leaked secret is not enough to open the vault.
authlog-sessions
Reconstructs what an attacker did from Linux authentication logs: the connections behind the login attempts, the addresses that made them, & what ran after one of them finally worked.
character-forge
A terminal roleplay engine for the Gemini API with folder-per-character personas, memory banks, group chats & free-tier budget tracking, so a long session does not quietly run into a quota wall.
agent-residue
Inspects local AI agent workspaces for leftover caches, abandoned state & stray process residues after multi-agent runs, keeping development environments clean & lightweight.
rag-from-scratch
A retrieval augmented generation pipeline with nothing hidden: chunking, embeddings, cosine search & prompt assembly each sit behind a small swappable interface so the moving parts stay visible.
GuardAIn
A lightweight IDS for Linux that watches live network traffic & pairs anomaly detection with behavioural rules to surface suspicious activity as it happens.
Toolkit
What I work with
Languages, platforms & frameworks I reach for most often.
Languages & frameworks
Python, C#, C++, Go, SQL, HTML, CSS & JavaScript, with React & Next.js for the front end of the internal tooling I build.
Python
C#
C++
Go
SQL
React
Next.js
Security & forensics
Palo Alto firewalls, VPNs, IDS/IPS, Wireshark, Burp Suite, Metasploit & Volatility, alongside evidence acquisition, file system & memory analysis.
Palo Alto
Wireshark
Burp Suite
Volatility
AI, data & automation
LLMOps, prompt engineering, agentic workflows, knowledge engineering & process automation, with pandas, scikit-learn, Jupyter, Tableau & Power BI on the data side.
LLMOps
Prompt engineering
Agentic workflows
Chatbot development
Tableau
Currently building AI tooling at SQL VIEW
My internship runs alongside the final stretch of my diploma. I am always glad to talk about anything on this site: the agent work, the security tooling, or a CTF your team is running.