Mairene.

AI/ML Engineer · Software Engineer

Mairene Sumalague

I design and build production AI systems and the web and mobile applications around them, from machine learning models and generative AI to full-stack products people use every day.

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Portrait of Mairene Sumalague
ID · M. SumalagueLead ML Engineer
Now
Lead ML Engineer, Triseed Software Inc
Certified
Claude Certified Architect · 3× Oracle Cloud

01About

From raw data to systems people rely on

What I build

  • AI & Machine Learning

    Production ML models, generative AI and agentic workflows, and computer vision, deployed with the pipelines and monitoring that keep them reliable.

    • Python
    • XGBoost
    • Claude & OpenAI
    • RAG
    • MediaPipe

    Projects Content Engine, Crypto Regime Forecasting, Drone Detection

  • Web Applications

    Full-stack web apps and internal tools, from secure APIs to fast, accessible interfaces, tested end to end and shipped with CI.

    • React
    • TypeScript
    • FastAPI
    • Flask
    • PostgreSQL
    • Playwright

    Projects Content Engine, Analytics Explorers, Property Operations Platform

  • Mobile Apps

    Cross-platform mobile apps in Flutter, from UI design in Figma to authentication, local notifications, and API integration.

    • Flutter
    • Dart
    • Firebase
    • Figma

    Projects ThyroCare Android app, Bookify app design

Mairene Sumalague smiling outdoors in front of blossoming trees
Based in the Philippines

I'm Mairene Sumalague, a machine learning engineer and software engineer who turns data into products people can depend on, from production AI to the web and mobile apps around it. I lead machine learning delivery for production platforms, designing classification and regression models, building generative AI and agentic workflows, and engineering the pipelines, retraining jobs, and dashboards that keep them reliable over time.

My path into engineering started early. My school did not offer programming, so I taught myself HTML, CSS, and JavaScript in junior high and later picked up Java and Python on my own. Computer Engineering at Batangas State University then gave me both ends of the stack, from microprocessors and digital logic to software, data, and applied AI. That foundation still shapes how I work, and I am as comfortable tuning a model as I am building a React interface or a Flutter app, or wiring a Raspberry Pi or NVIDIA Jetson into a prototype.

I value clear ownership, fast learning, and systems that are dependable, well documented, and easy for a team to maintain. Away from the keyboard, I am usually planning my next trip, most often to Japan or China, which is where the neon skyline on this page comes from. The cat projected into that skyline is Kopicat, my own cat, named for his coffee latte coat and reimagined here as a cyborg hologram.

Full name
Mairene E. Sumalague
Role
Lead Machine Learning Engineer
Degree
B.S. Computer Engineering, 2022

How I work: the full ML lifecycle

I take ownership of models from the first look at the data through to monitoring in production. Each stage informs the next, and what monitoring reveals feeds back into the start.

  1. AnalyzeExplore data and frame the problem
  2. PrepareClean, join, and validate inputs
  3. EngineerBuild and select features
  4. Train & evaluateCompare models against clear metrics
  5. ServeRun inference behind APIs and apps
  6. MonitorTrack freshness, performance, and alerts
Download CV .docx See experience

02Projects

Selected work

GenAI platforms, applied machine learning, computer vision, edge hardware, and the web and mobile apps around them. Public repositories are linked. Client work stays private: clients are described generically and shown with original illustrations instead of real data.

    All repositories on GitHub

    03Skills

    Technical toolkit

    Grouped by how I use them. Drawn from production work, freelance projects, the repositories above, and certification work.

    AI & Machine Learning

    Classification and regression models, owned through evaluation, inference, and retraining.

    • Supervised learning
    • Unsupervised learning
    • XGBoost
    • LightGBM
    • Ensembles & stacking
    • scikit-learn
    • TensorFlow
    • Keras
    • Feature engineering
    • Walk-forward validation
    • Probability calibration

    Generative AI & Agents

    Production GenAI systems: retrieval over private data, agentic workflows, multimodal vision LLMs, and evaluation, built on Claude, OpenAI, and Gemini.

    • Claude (Anthropic API, AWS Bedrock)
    • Claude Code
    • Claude Agent SDK
    • OpenAI API
    • ChatGPT
    • Gemini
    • RAG & pgvector
    • Agentic workflows
    • Model Context Protocol (MCP)
    • Vision LLMs
    • Prompt engineering
    • LLM evaluation

    Computer Vision & Deep Learning

    Detection pipelines from dataset checks to real-time inference and operator-facing output.

    • Object detection
    • YOLO
    • Multi-object tracking
    • Real-time video inference
    • MediaPipe
    • ONNX Runtime
    • OpenCV
    • Generative image editing
    • Dataset curation & validation

    Web & Mobile Development

    Full-stack web apps and Flutter mobile apps: typed React front ends, Python APIs and databases, and responsive, accessible UI tested in real browsers.

    • React
    • TypeScript
    • Vite
    • Tailwind CSS
    • HTMX
    • FastAPI
    • Flask
    • REST & GraphQL APIs
    • PostgreSQL
    • Flutter
    • Dart
    • Firebase
    • Responsive & accessible UI
    • Playwright

    Programming Languages

    Python for ML and data, TypeScript and Dart for web and mobile, SQL for most things data, and the rest where a project needs them.

    • Python
    • SQL
    • TypeScript
    • JavaScript
    • Java
    • C++
    • Dart
    • HTML & CSS

    Data Engineering & Analytics

    Scheduled ingestion, ETL, and reporting pipelines, plus dashboards that track KPIs and model health.

    • dbt
    • Redash
    • Airflow
    • ETL pipelines
    • pandas
    • Parquet
    • Benchmarking
    • Excel automation
    • Streamlit
    • Grafana
    • Plotly
    • Google Analytics
    • Schema design & query tuning

    Robotics & Edge AI

    AI-enabled hardware prototypes, from flight-controller tooling to onboard compute.

    • NVIDIA Jetson Orin AGX
    • Raspberry Pi
    • Arduino
    • ArduPilot
    • Mission Planner
    • QGroundControl

    Cloud, DevOps & Automation

    Shipping and running systems: containers, CI, observability, testing, and workflow automation.

    • Docker
    • AWS (S3, Bedrock)
    • DigitalOcean
    • Oracle Cloud Infrastructure
    • GitHub Actions
    • pytest
    • Playwright
    • Sentry
    • n8n
    • Zapier
    • Make
    • Git
    • Linux

    04Experience

    Track record

    Production machine learning, data systems, and web and mobile software, plus the education and certifications behind them.

    Work

    Triseed Software Inc

    Nov 2023 to Present

    1. Lead Machine Learning Engineer
      Jan 2025 to Present
      • Led delivery of machine learning and advanced analytics features for a production reporting platform.
      • Built classification and regression models, plus GenAI and agentic workflows using OpenAI tools and Gemini Cloud.
      • Owned the ML lifecycle: data analysis, data preparation, feature engineering, training, evaluation, inference, monitoring, and iteration.
      • Designed automated ETL and retraining workflows with scheduled evaluations and alerting.
      • Extended dashboards to track KPIs and model health, such as data freshness and performance.
      • Built internal web applications across backend logic and frontend interfaces.
    2. Associate Software Engineer
      Feb 2024 to Dec 2024
      • Developed backend APIs and data services supporting operational and communication datasets.
      • Improved database performance through schema design, indexing, and query optimization.
      • Built dashboards for revenue, activity, and operational reporting.
      • Delivered automated reporting pipelines producing weekly and monthly KPI outputs.
      • Implemented recurring ingestion and transformation workflows using DAG-based orchestration.
    3. Junior Software Engineer
      Nov 2023 to Jan 2024
      • Built an internal web application, contributing to both frontend and backend components.
      • Developed Python and SQL utilities to extract, clean, and consolidate data for reporting and analysis.
      • Automated recurring manual reporting tasks using scheduled workflows.

    Freelance

    Sep 2022 to Oct 2023

    Machine Learning and Software Engineer
    • Built ML and data analysis solutions, including benchmarking and comparative analysis.
    • Delivered ML prototypes and dashboards for stakeholders.
    • Developed internal tools and automation scripts to simplify workflows.
    • Built and tuned AI-enabled hardware prototypes using Arduino, Raspberry Pi, and Jetson.

    Creotech Inc

    Jan 2022 to May 2022

    Mobile Developer Intern
    • Built Android features and responsive UI from wireframes.
    • Implemented Unity gameplay systems and mechanics.
    • Integrated backend APIs and resolved bugs and performance issues.

    Education

    Aug 2018 to Oct 2022

    B.S. Computer Engineering

    Batangas State University, The National Engineering University

    Coursework and projects spanning microprocessor design, HDL-based digital logic, and the foundations of electronics and computer engineering, alongside software systems, data, and applied AI.

    Jun 2016 to Apr 2018

    Senior High School, STEM Track

    STI College Lucena

    Science, Technology, Engineering, and Mathematics track with a strong focus on math and science fundamentals.

    Certifications

    • Claude Certified Architect - Foundations

      Anthropic · September 2026

      Passed Anthropic's proctored exam for designing and building production-grade applications with Claude, using Claude Code, the Claude Agent SDK, the Claude API, and MCP.

      Verify on Credly

    • Oracle Cloud Infrastructure 2025 Certified Data Science Professional

      Oracle · October 2025

      Data preparation, model training, evaluation, and deploying ML solutions with Oracle Cloud services and practical data science workflows.

    • Oracle Cloud Infrastructure 2025 Certified Generative AI Professional

      Oracle · October 2025

      Building GenAI solutions on OCI, including prompt design, retrieval-augmented workflows, and responsible deployment practices.

    • Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate

      Oracle · September 2025

      Core AI concepts and OCI fundamentals, including model lifecycle basics, common ML use cases, and best practices for cloud-based AI projects.

    05Contact

    Let's build something intelligent

    I'm happy to talk about machine learning engineering, AI-powered web and mobile apps, data pipelines, and edge AI, whether it's a role, a collaboration, or a hard problem you're working through.

    Where I can help

    • GenAI & ML systemsRAG and agentic products on Claude, OpenAI, and Gemini, plus classification and regression models with retraining and monitoring.
    • Web & mobile appsFull-stack web apps in React, TypeScript, and FastAPI or Flask, plus cross-platform mobile apps in Flutter.
    • Data pipelines & analyticsETL, DAG-based orchestration, KPI and model-health dashboards.
    • Computer vision & edge AIDetection pipelines and AI-enabled prototypes on Jetson, Raspberry Pi, and Arduino.