<Cyrus Mante>
//ai engineer & data scientist
//about
hi, i'm Cyrus — cy for short. i build AI systems end-to-end: from messy data and model experiments all the way to deployed tools that people actually use. i've shipped LLM-powered apps, computer vision pipelines, and internal dev tools across consulting, publishing, and education.
outside of work, i speak at conferences, mentor students, and try to make AI less intimidating for people just getting started.
//work experience
build and ship generative AI proof-of-concepts that solve real business problems — covering agentic workflows, prompt engineering, and cloud deployment within a cross-functional CoE.
write clean, tested Python, conduct code reviews, and integrate no-code tools — keeping delivery fast without cutting corners on reliability or security.
built internal LLM-powered web apps that let developers and managers interact with AI tools without needing to write a single prompt themselves.
proposed, documented, and deployed AI tools in collaboration with onshore teams — from idea to production with actual adoption.
built a receipt scanner app in Python + React Native, revamped a car plate detection model improving efficiency by ~40%, and taught an AI workshop as the first AI intern at Cryptex.
also did early ML work at Dashlabs and AIA — cleaning healthcare data, building a heart disease prediction model from ECG data, and developing a next-best-offer model that improved conversions by ~20%.
teach data science, ML, and Python to students and working professionals at CIIT, Eskwelabs, and ExcelHelpline — from fundamentals all the way through model deployment.
maintained a 4.5/5 student satisfaction rating and consistently built hands-on curricula — because good AI education should look like real work, not just slides.
//technologies
AI/ML
Python, TensorFlow, PyTorch, Scikit-learn
Frontend
React, Next.js, TypeScript, TailwindCSS
Backend
Node.js, Django, FastAPI, PostgreSQL
Cloud
AWS, Docker, GCP, Azure
//projects
A modern portfolio website showcasing my projects and skills as a Machine Learning Engineer.
Django-based web app for creating professional online portfolios with NFC card integration support.
Mobile app for classifying Philippine banknotes for visually impaired users using computer vision.
OCR application that extracts business details from receipt images using LLMs.
NLP analysis of YouTube Rewind 2018 comments using sentiment analysis techniques.
//blog
//contact
have a project in mind? i'd love to hear about it.