Marco Anthony Ayuste
Search Engine Optimization Specialist @Stealth Startup
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WORK HISTORY
Search Engine Optimization Specialist @Stealth Startup
Toronto, ON, CA
I work individually and also in a team. I have meetings and mainly collaborate with my supervisor, social media marketing lead, and 3d designer to generate sales.
EDUCATION
University of Toronto
Honours Bachelor's Degree, Information, Communication & Technology
Philip Pocock Catholic Secondary School
High School Diploma
ABOUT MARCO ANTHONY AYUSTE
I\'m Marco, a UofT student graduating June 2027. Concrete proof I ship: I built an AI pipeline that reads photos of paper tournament sheets and drops the data cleanly into Google Sheets, cutting my club president\'s weekly admin work from 1-2 hours to under 3 minutes.That\'s the work I\'m drawn to, turning tedious, error-prone, real-world workflows into boring-to-run, easy-to-audit software. Now:Team Lead of a 3-person cross-university engineering team at Paideia Mundi NeuroSystems Institute (Wrapping up early May 2026). In 10 weeks, we\'ve built a multimodal AI research prototype for early-stage neurodevelopmental healthcare: scikit-learn regression pipelines on neuroimaging data, a Streamlit + Plotly clinician dashboard, and the GitHub org, CI/CD, and Sphinx documentation I architected for full IP traceability.Founding developer of UTMBC (utmbc.vercel.app). The platform serves 320+ members across 10+ pages in React, TypeScript, Tailwind, Node.js, and Python: a live Elo rankings dashboard with multi-tier filtering, privacy masking, and localStorage TTL caching; a 2v2 bracket generator; and an embedded AI chatbot.Hackathons: DeerHacks V, winner Global Spark: Hack the Globe, finalist 🤖 GenAI Hackathon, participated IBM Z x UNSA 2026, ongoingWhat I bring: an instinct for shipping the boring-but-correct version first, then iterating until it\'s clean and fast. Trilingual (English / French / Tagalog), daily hands-on in TypeScript, React, Next.js, Python, FastAPI, scikit-learn, LangGraph, and Supabase. Born in Canada, based in Toronto / Mississauga, open to remote/hybrid/in-person.I am interested in internships / co-ops or contract roles, and June 2027 new-grad roles in AI/ML, research, full-stack, software engineering, web development, or data / automation. m••••••••@mail.utoronto.ca, or DM me here.Python, TypeScript, JavaScript, React, Next.js, Node.js, FastAPI, scikit-learn, Random Forest, Support Vector Machine (SVM), Gradient Boosting, Regression Analysis, Feature Engineering, Cross-Validation, Hyperparameter Tuning, pandas, NumPy, Matplotlib, mlflow, fastAPI, Docker, PyTorch, TensorFlow, Streamlit, Plotly, LangGraph, LangChain, APIs, RAG, MCP, CLI, Prompt Engineering, Snowflake, Supabase, PostgreSQL, Tailwind CSS, Git, GitHub Actions, CI/CD, Sphinx, REST APIs, Auth0, Vercel, Netlify, Jupyter, Google Colab, Data Pipelines, ETL, Full-Stack Development, Software Engineering, Agile, Team Leadership, Technical Documentation, Research, Debugging, System Design, English, French, Tagalog
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