Francis Natus M.

Learning and Skills

Topics and skills from coursework, research, and hands-on builds — newest first. Certificate scans live on Certificates & Awards.

ArrivAI — migrant integration platform

Jun 2026 · South Korea

  • Integration Readiness Score (IRS) across 79 Korean cities from skill, language, and origin
  • MapLibre 3D map with per-city IRS markers and profile-driven personalization
  • Saramin job scraping via Bright Data Web Unlocker, cached in Firestore
  • Claude assistant with profile context — skill, Korean level, IRS, and target city
  • Installable PWA on Vercel (React + Vite frontend, Express API)

Skills

Full-stackMapLibreClaude APIBright DataFirestorePWAReactViteExpressVercel

AWS AI Practitioner

Mar–Apr 2026 · Udacity

  • AWS AI/ML services and cloud-native patterns for applied AI workloads
  • Hands-on implementations connecting ML theory to production-style pipelines on AWS

Skills

AWS AI/MLCloud-native MLApplied AIML pipelines

Credential URL: https://www.udacity.com/certificate/e/d318d16e-3196-11f1-a9c4-4b2f4c389ac0

Deep Learning Specialization

Mar–Apr 2026 · DeepLearning.AI (Coursera)

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: hyperparameter tuning, regularization, and optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
  • Architectures: CNNs, RNNs, LSTMs, and Transformers
  • Training strategies: dropout, BatchNorm, Xavier/He initialization
  • Built models in Python and TensorFlow for speech recognition, music synthesis, chatbots, machine translation, and NLP

Skills

Neural networksCNNsRNNsLSTMsTransformersTensorFlowPythonHyperparameter tuningNLPSpeech recognitionMachine translationML project structure

Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/JL3S1X3P207U

Research & user-centered AI

2026 · KDU Global

  • Quantitative study of how users perceive AI recommendations (ResQue framework on Netflix and YouTube)
  • Survey design, Likert scaling, and connecting perceived quality to trust and transparency
  • Why explainable recommendation UX matters as much as offline accuracy

Skills

Quantitative researchSurvey designLikert scalingUser-centered AIExplainable AITrust & transparency

MGM Assist — GenAI hackathon build

Mar 2026 · GenAI Academy World Wide Vibes

  • Bright Data for scheduled scraping and keeping civic/economic feeds fresh
  • Firebase (Realtime Database & Firestore) for live dashboard data
  • Vibe coding — rapid AI-assisted iteration, sharpened under hackathon pressure
  • Claude API integration for the city assistant and natural-language Q&A on civic data
  • Full-stack delivery: React, Node/Express, Mapbox, and Vercel deployment in a two-week sprint

Skills

ReactNode.jsExpressFirebaseClaude APIBright DataMapboxVercelRapid prototypingData visualization

Machine Learning Specialization

Dec 2025–Mar 2026 · Stanford Online / Coursera

  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning
  • Supervised learning: linear regression, logistic regression, neural networks, and decision trees
  • Unsupervised learning: clustering and anomaly detection
  • Recommender systems and reinforcement learning
  • Best practices for building machine learning models and applying techniques to real-world problems

Skills

Supervised learningUnsupervised learningRecommender systemsReinforcement learningscikit-learnTensorFlowNLPModel evaluation

Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/AGC3UP0QYQH0