I bridge robust network infrastructure with creative software, from P4 programmable switches and DRL traffic optimization to full-stack research tools and applied AI prototypes.
I’m a Master’s student in Computer Science at Ontario Tech University, continuing research with Dr. Cristiano Politowski on AI agents and software engineering.
My day-to-day shifts between Cisco labs, P4 programmable switches, and Python. My favorite work sits at the intersection: software that automates, analyzes, and optimizes the networks I run. I’ve built deep reinforcement learning environments for traffic optimization, a custom 2D engine for benchmarking DRL agents, and a real-time computer vision tool for telehealth.
Continuing research on programmable networks and AI agents in software engineering. Supervised by Dr. Cristiano Politowski.
Facilitated advanced labs on routing protocols, OSPF / BGP fundamentals, and inter-VLAN routing.
Facilitated labs on TCP/IP, subnetting, and enterprise firewall configurations. Mentored undergraduates through Cisco Packet Tracer assignments.
Engineered research infrastructure on P4 programmable switches. Developed custom P4 programs for packet analysis, including lab-first implementations of several behaviors.
Vulnerability assessments on e-commerce infrastructure. Audited 30+ plugins and produced a hardening checklist adopted by the engineering team.
Optimized lab network performance, reducing downtime by roughly 20%. Managed server hardware and connectivity across 20+ lab systems.
Taught digital technology through hands-on courses. Mentored students on personal projects.
Asset inventory across 2,000+ laptops. Factory-reset and QA workflows aligned with board compliance standards.
A custom 2D game engine purpose-built for benchmarking Deep Reinforcement Learning agents. Implements PPO agents and modular reward functions to evaluate how policies adapt to environment shifts, built around a clean Python and PyTorch loop.
Real-time AI body-mapping tool for telehealth. Translates patient gestures into structured clinical data using computer vision and a 3D digital twin. Built for HackHive 2026.
An offline interactive-fiction engine powered by Ollama and Python. Limitless generated storytelling, zero API spend, full data privacy.
A collection of foundational ML algorithms implemented from scratch, built to internalize the math behind modern AI.
Documentation platform with extensive relational database modeling and a clean UI for browsing connected entities.
Fetching from @Al-Scripting…
Actively seeking research collaborations and engineering opportunities, especially in programmable networks, applied ML, and security tooling.
Pick the channel that suits you. Email for proposals, LinkedIn for chats, GitHub for code.
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