Hi, I'm
Marcus Cedric
S. Pedrosa
I am a Computer Engineering Technology Student
Hi, I'm
I am a Computer Engineering Technology Student
I'm currently a 3rd year computer engineering technology student specializing in Machine Learning with a passion for creating useful digital solutions and solving real-world problems.
I'm also a big fan of technology and I like going to tech events where I can meet new people and learn from what they're building. Right now, I'm focusing on building my skills and portfolio so I can keep up with the software and AI space. One project I'm proud of is the Quantis-F1 project, a real-time championship predictor for the 2026 Formula 1 regulation reset.
Introduction to Python Programming
Coursera · November 2025
DataCamp · February 2026
Computer Systems Servicing NC II
TESDA · September 2024
TESDA · February 2026
Udacity · June 2026
Etiqa Life and General Assurance Philippines, Inc.
Streamlined high-volume data operations by implementing automated Excel validation and a structured archival system, significantly reducing retrieval times. I ensured 100% data fidelity across complex processing pipelines by conducting rigorous cross-validation between digital datasets and physical records.
Snapp Ventures Inc. (Matchmo)
Ensured production grade software quality by executing end-to-end testing across web, internal CRM, and Android APK environments, identifying critical blockers in authentication and user roles. I audited data pipelines to achieve 100% data mapping accuracy, utilizing Directus to architect database schemas for the HR system. To guarantee system stability, enforced a strict sub-500ms to 600ms page interactivity thresholds through network latency testing. To optimize efficiency, I transitioned manual processes into code-driven QA by designing and containerizing parameterized web automation scripts using Playwright and Docker across 10 consecutive weeks of fast-paced agile sprints.
A modern personal budget tracker designed to make financial management more intuitive and automated. The platform combines AI-powered receipt scanning, recurring expense tracking, spending analytics, anomaly detection, and intelligent budget insights generated with Gemini. It also supports exportable PDF and CSV reports, enabling users to monitor their financial progress over time.
View Project →
AI-powered crime scene analysis system that detects weapons and threats using YOLOv8 object detection, enhanced with a RAG-based chatbot providing real-time investigative assistance.
View Project →
An ergonomic, solar-powered charging station that integrates a custom-geared hand crank to convert human kinetic energy into stored electricity. This project features an ESP32-monitored 1280Wh LiFePO4 battery and a 300W solar array to provide sustainable, high-speed mobile charging for public spaces.
View Project →
A portfolio website showcasing my projects and skills. Also, introduces my background and experience so far. Built with a custom design displaying my journey as a computer engineering technology student and my aspirations in the field of software and AI engineering.
View Project →
A full-stack real time championship predictor for the 2026 Formula 1 regulation reset. Live telemetry pipeline (OpenF1 -> Redis -> Websocket -> React dashboard), Monte Carlo simulation engine and ML lap time prediction using FastF1 historical data. Full-stack: FastAPI - React - Supabase (PostgreSQL) - Redis - Docker
View Project →Tech Stack