MJE
Computer Engineer // Mapúa University

Marc Julian
M. Elizarde

Full-Stack Developer |
Hardware, Software, AI Engineer

I build scalable web applications, AI-powered systems, and hardware-integrated solutions that move businesses forward. From startup MVPs to enterprise platforms — precision-crafted, delivery-focused.

3+ Years Building
5+ Projects Shipped
1 IEEE Publication
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Marc Julian Elizarde Marc Julian Elizarde - Pixel Art Moon Knight
MJE // BSCPE
Origin Story

About Me

I'm Marc Julian M. Elizarde — a Computer Engineering graduate from Mapúa University, one of the Philippines' top engineering schools. I build software that sits at the intersection of hardware, AI, and web.

From publishing research in IEEE on machine learning + embedded systems, to shipping a live loyalty platform for a London restaurant, I deliver work that functions beautifully and scales reliably.

🌐
Full-Stack Web
React, Node.js, Supabase, REST APIs
🤖
AI & ML
Python, SVM, data analysis, LLM integration
🔩
Hardware & IoT
Raspberry Pi, embedded systems, sensors
🎨
UI/UX Design
Dark-mode first, conversion-focused design
What I Offer

My Services

⚡
Web App Development

End-to-end web applications built fast and built to last. Whether it's a landing page, a SaaS product, or a customer portal — I handle frontend, backend, and deployment.

  • React / Next.js frontends
  • Node.js / Python backends
  • Database design & APIs
  • Supabase / Firebase / PostgreSQL
🤖
AI Integration & ML Systems

Add intelligence to your product. I integrate LLMs, build classification models, and wire AI into real-world workflows — from recommendation engines to sensor analytics.

  • LLM / ChatGPT API integration
  • Custom ML models (Python / sklearn)
  • Data pipelines & preprocessing
  • Computer vision & signal processing
🔩
Hardware & IoT Solutions

Bridge the physical and digital. I prototype and build embedded systems, IoT devices, and sensor-driven applications using Raspberry Pi and custom hardware setups.

  • Raspberry Pi / Arduino
  • Sensor integration & calibration
  • Hardware-to-cloud data pipelines
Arsenal

My Skills

⚡
Frontend
  • HTML / CSS 95%
  • JavaScript 88%
  • React 82%
  • TypeScript 75%
🛡️
Backend & AI
  • Node.js 85%
  • Python / ML 82%
  • SQL / Databases 80%
  • REST APIs 88%
🔧
Tools & Hardware
  • Git / GitHub 90%
  • Docker 70%
  • Raspberry Pi / IoT 85%
  • UI/UX Design 83%
Active Training

In Progress

Skills and certifications currently being pursued — unlocking the next phase.

// 001 In Progress
☁️
Cloud Engineering

Actively training to become a certified cloud engineer — learning infrastructure provisioning, container orchestration, serverless architecture, and cloud-native development pipelines. Building hands-on skills across major cloud platforms to design scalable, resilient, and cost-optimized systems.

// Training Progress 35%
AWS / GCP / Azure Docker & Kubernetes Terraform / IaC CI/CD Pipelines Serverless Cloud Security
// 002 In Progress
🏅
AWS Cloud Practitioner

Studying for the AWS Certified Cloud Practitioner exam — covering core AWS services, billing, security fundamentals, and the global infrastructure overview.

// Exam Readiness 40%
AWS Core Services IAM & Security Billing & Pricing
// 003 In Progress
⚙️
DevOps & Containers

Learning Docker containerization, Kubernetes orchestration, and building automated CI/CD pipelines to streamline deployment workflows and infrastructure management.

// Hands-on Progress 25%
Docker Kubernetes GitHub Actions
Mission Log

Featured Projects

// 001 — FEATURED ● LIVE
Metro Kebab & Burgers — Digital Loyalty Platform

A full-stack loyalty card system built for a London restaurant chain. Customers earn and redeem points digitally via QR code, eliminating paper stamps entirely. Admin dashboard gives owners real-time visibility into customer activity and retention metrics.

// Business Impact
Replaced paper-based loyalty system — customers can track rewards digitally. Live and serving real users in Sydney, Australia.
React Node.js Supabase PostgreSQL QR Integration Real-time DB UI/UX Design
View Live Project
// 002 IEEE PUBLISHED
Electronic Nose: Beverage Classification via ML

A Raspberry Pi-powered e-nose system that uses gas sensor arrays and a Support Vector Machine to classify alcoholic beverages with high accuracy. Published and peer-reviewed by IEEE.

// Research Impact
Published in IEEE Xplore — demonstrates applied ML on custom hardware for real-world classification tasks.
Raspberry Pi 4B Python SVM Data Analysis Hardware
Read on IEEE
// 003 DESIGN PROJECT
QR and RFID based Smart Doorlock System using ATmega328P

A design project for a smart doorlock system that uses QR codes and RFID tags to access comfort room depending on the access role. Built on an ATmega328P microcontroller with integrated sensors for detection of user presence and validation of access credentials.

// Value Proposition
Enhances security and convenience for access control in various environments.
Hardware Arduino Embedded System Microcontroller Sensors
Request for More Info
// 004 PROJECT
Attendance Inspector Scheme

Allows handling schedules and checks the attendance of a particular person. It will also enable the user to track different features aside from attendance and plan, it will also monitor the grades, roster, and courses of the student. Moreover, it will also alert and prompts students who are lacking behind with the class attendance to examine their records.

// Why It Matters
Enables processing of schedules and verifies a specific person's attendance. For all teenagers and young people to succeed in school and prevent falling behind academically and cognitively, attendance is essential
SQL Microsoft Power Apps Visual Studio
Inquire About This
// 005 PROJECT
Community Waste Segregation Monitoring System as Means for Waste Collection

A data-driven monitoring solution designed to streamline local waste collection. Developed using Python and PyGUI, the system tracks community disposal habits and segregation compliance, utilizing a MySQL backend to manage real-time waste levels and collection schedules across the village.

// Value Proposition
Optimizes homeowners' logistics and promotes environmental accountability through automated data tracking.
Python MySQL PyGUI VS code Data Management
Request for More Info
Field Reports

What Clients Say

"

Marc delivered a clean, working loyalty system faster than we expected. Our customers love it — no more paper stamps, and we can actually see who's coming back. Really impressed with the quality for a first project together.

MK
Metro Kebab & Burgers
Restaurant Owner
Signal Received

Let's Work Together

Open to freelance & full-time opportunities
The moon stays bright even when the night is at its darkest.
📧 Email Me ⚔️ GitHub 🌙 LinkedIn 🟢 Upwork 📞 Call Me : +63 917 629 2327

Designed & Built by Marc Julian M. Elizarde — Computer Engineer, Mapúa University
FULL-STACK · AI · HARDWARE // MJE // 2025