Marc Doria

Marc's portrait

Hi, I'm Marc! 👋

I'm a BS Computer Science student from the University of the Philippines - Manila, passionate about AI, machine learning, and software engineering. I thrive on turning big ideas into user‑friendly apps and solving real-world problems. From winning the Naga City Mayoral Hackathon to representing the Philippines at the L'Oréal Brandstorm Global Finals, I've built my global tech journey across the Philippines, France, and South Korea. I'm always eager to learn more, tackle new challenges, develop fresh ideas, and collaborate with innovators around the world. Let's connect and create something together!

Experience 💼

Affiliate Data Intern - CPD CDMO 📊✨

L’Oréal Philippines (Mandaluyong City, May 2026 – Aug 2026)
  • Ingested and consolidated multi-channel sales and marketing datasets for 4 major brand portfolios (L’Oréal Paris, Maybelline New York, Garnier, and Dr. G) using Power Query and Power BI, reducing manual data preparation time.
  • Engineered automated ETL pipelines and reporting workflows using Power Automate and Advanced Excel (VBA) to deliver real-time data visibility to stakeholders.
  • Developed predictive data projection models to forecast campaign performance and consumer demand trends, supporting strategic budget allocation for the CDMO.

IT Service Management Intern 🛠️💻

DFI Retail Groups (Mandaluyong City, June 2025 – Dec 2025)
  • Developed, tested, and maintained software applications in alignment with the organization's Software Development Life Cycle (SDLC) standards.
  • Ensured all delivered solutions met both functional requirements and non-functional specifications, such as performance and security.
  • Planned, implemented, and executed software deployments across development and production environments.
  • Provided ongoing application support, including daily operations and issue resolution, ensuring adherence to service level agreements (SLAs) and minimizing business disruptions.

AI Response Quality Analyst [Contributor - Generalist (Tier 1)] 🤖💬

Outlier (Remote, Aug 2024 – Dec 2025)
  • Ranked and evaluated 100+ AI-generated responses to diverse user prompts, ensuring high-quality outputs.
  • Conducted thorough fact-checking to verify AI response accuracy, improving system reliability.
  • Optimized AI-to-user interaction by providing feedback to enhance alignment with user expectations.

Academic Collaborations Officer 💻📚

Google Developer Groups on Campus - UP Manila (Manila, Sept 2024 – Sept 2025)
  • Facilitated communication and partnership initiatives with campus organizations and student bodies, building strong inter‑club relationships.
  • Coordinated collaborative projects and events with university departments, enhancing student engagement and developer outreach.
  • Designed and managed student/developer programs, workshops, hackathons, and speaker series.

General Manager 💰🎮

Project Axiom (Remote, Mar 2022 – Jul 2022)
  • Chaired and co-managed a Web3 DAO with 6,000+ members.
  • Developed financial opportunities and technological awareness to grow blockchain interest.
  • Collaborated with other DAOs to foster Web3 engagement in the Filipino community.
  • Practiced productive communication and creative problem-solving in decentralized governance.

Project Manager 🍀📂

Kalinga (Remote, Sep 2020 – Dec 2021)
  • Grew the organization's following to 2,000+ members through content and strategic planning.
  • Held project management seminar to train and equip members with essential skills for organizing and managing humanitarian projects effectively.
  • Developed engaging online webinar content that resonated with a diverse audience.
  • Demonstrated initiative by overcoming logistical challenges in remote project coordination.

Education 🎓

Bachelor of Science in Computer Science 🌻

University of the Philippines Manila Manila, NCR (2026)

Relevant Coursework: Software Engineering, Web Programming, Database Systems, Computer Architecture

Activities: UP Society of Computer Scientists, Google Developer Groups on Campus - UP Manila

MOVE-UP Outbound Student Exchange Program 🌸

Chonnam National University Gwangju, South Korea (Spring 2024)

Relevant Coursework: Principles of Programming Languages, Design Engineering, Human-Computer Interaction

Activities: International events, team-building, university initiatives

Senior High School 🔬

New Era University Quezon City, NCR (Aug 2021)

Graduated with honors

Technical Skills 🧰

  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • React
  • Vue.js
  • Next.js
  • Tailwind CSS
  • Vite
  • Node.js
  • Express
  • Python
  • PHP
  • Laravel
  • C
  • C++
  • C#
  • Java
  • Haskell
  • PostgreSQL
  • MySQL
  • Supabase
  • Firebase
  • Prisma
  • PyTorch
  • TensorFlow
  • Huggingface
  • Ollama
  • OpenRouter
  • Mistral AI
  • Groq
  • Gradio
  • Grad-CAM
  • Flutter
  • Dart
  • Unity
  • Zepp OS
  • Docker
  • Kubernetes
  • Git
  • GitHub
  • Cloudflare Workers
  • n8n
  • Streamlit

Projects 🚀

L'Oréal Brandstorm 2026 - National Champions (Philippines)

National Champion representing the Philippines at the Global Finals in Paris (top 0.035% of 380,000+ international participants). Technical lead for an AI-powered luxe-beauty fragrance ecosystem prototype using React, Groq, and Mistral AI.

MyNaga Health Suite (1st Naga City Mayoral Hackathon 2026)

Grand Winner (Health Category) at the 1st Naga City Mayoral Hackathon. Engineered a scalable full-stack digital health solution featuring AI smart triage, a localized voice-to-form engine, and OCR prescription scanning for 155,700 residents.

AlarmZone: Mission-Based Smartwatch App (Zepp OS)

Commercial mission-based smartwatch application engineered for Zepp OS (TypeScript/QuickJS). Deployed across 106 countries with 1,800+ downloads, driving a 78.8% checkout rate and +160% QoQ sales growth via multi-lingual ASO.

Decoding SLE: Pathway-Grouped Explainable ML for Lupus Risk (IEEE IISA 2026)

Full 8-page paper published in the 17th IEEE IISA 2026 Conference. Proposed a pathway-grouped explainable machine learning framework using XGBoost and TreeSHAP to map genomic susceptibility variants (SNPs) to biological pathways.

ClaimCheck: Multimodal GEO & XAI Attribution Engine (Undergraduate Thesis)

BS Computer Science undergraduate thesis. Benchmarks multimodal Generative Engine Optimization using Vision-Language Models, Grad-CAM visual attribution, and an LLM-as-a-Judge evaluation framework.

GJeep (GCash ImaGnation 2025)

Secured placement of Top 4 out of 196 teams in a nationwide 3-day hackathon by developing GJeep, a transport-targeted initiative to modernize the commute system in the Philippines using LTE and BLE for fare transaction.

Project: Tanda - AI-Powered Flashcard Generator

Developed a multimodal AI system for automated flashcard generation from PDF documents, integrating text processing, visual content analysis, and semantic retrieval.

Jot-it: AI-Powered Task Management

Modern, AI-enhanced task management application built with React, Node.js, and PostgreSQL. Features intelligent task creation, scheduling optimization, and secure authentication.

UP Manila Building Information Management System

Centralized digital platform that integrates real‑time facility data, maintenance scheduling, and resource tracking into a single, user‑friendly dashboard to optimize campus operations and planning.

OpenNutriTracker (Fork)

Open-source mobile nutrition tracking application with AI-powered chat functionality. Features comprehensive food diary, barcode scanning, custom meal planning, and intelligent nutrition assistance through enhanced AI integration.

SeekUp: ARAL (Accessible Routes to Achieve Learning)

Platform to enhance education and professional development. It connects learners with educational resources, mentorship, and real-world application opportunities. This project was made during the 3-day Hooked Unitour Hackathon.

RAG-Enhanced Cold Email Generator

Python-based Retrieval Augmented Generation (RAG) system that generates personalized cold emails by retrieving information from user resume and company data; uses Ollama's LLM API for email generation with native Gmail integration. This is a side-project.

Machine Learning Analysis of Global Student Mobility

Streamlit-deployed Machine Learning Analysis side-project of Global Student Mobility using Python, Kaggle Datasets, and Exploratory Data Analysis (EDA). This project combines a personal interest in international education trends with data science.

Marc's Online Store

A full-stack e-commerce application built with Next.js, Express.js, and PostgreSQL. This project demonstrates a modern web application with user authentication, product management, shopping cart functionality, and order processing. This was a Machine Problem project for UP.

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Contact Me 📫