ML Engineer specializing in accelerated computing — PyTorch Conference Europe & GitHub Universe 2026 speaker —

with production data pipelines processing 500k+ records/day.

Technical Skills
Machine Learning: Python, PyTorch, CatBoost, scikit-learn, RAG, Fine-Tuning
Software Engineering: React, TypeScript, Next.js, Node.js., Express, PostgreSQL, Docker, Kubernetes
Cloud Engineering: Google Cloud, AWS, Azure, AWS CDK, Terraform, GitHub Actions
Projects & Research
OpenWeights: Edge Inference
Aug 2026
  • Open-source Android app for Edge AI inference using llama.cpp
  • Features Hugging Face integration, agentic web search, file system access, code execution, and multimodal inputs
  • Co-developed Visual-Qwen using CLIP, Whisper, Q-Former, and Qwen3-4B for multimodal “sludge” video detection.
  • Achieved 93.4% F1 / 93.5% accuracy on held-out data after training on TPU v4-64 via Google Cloud
  • Published a 2K-video / 6K-sample multimodal dataset; reached 200+ monthly Kaggle downloads.
  • Validated the system with 53 participants across ML, content creation, moderation, and data science.
  • Open-source TypeScript package with peak 1600+ downloads per week on npm
  • Benchmarked at ~7.2K jobs/min with near-100% success across tested search configurations.
  • Professional Experience
    ViableView⁠, Senior Data Engineer
    Feb 2026 – Present
  • Built 3 in-house government business-registry scrapers in Python (2.7M records at 200k/day)
  • Designed an email-enrichment pipeline (2.6M records at 240k/day) with 94% macro F1-score against baseline
  • Architected a multi-cloud provider, multi-VM autoscaler, email validation batched pipeline (800K records at 80k/day)
  • Kollab⁠, Associate Cloud Engineer
    Sep 2025 – Feb 2026
  • Delivered a patient-search AI for a leading Philippine hospital in 30 days using Google Cloud, AlloyDB, and Vertex AI.
  • Developed 4 cloud-hosted internal tools for employee, tax, facility occupancy, and distributed inventory management
  • AI First⁠, AI Engineer Intern
    Dec 2024 – Aug 2025
  • Built a Python pipeline that enriched 200k+ job leads across 7 countries that sponsor work visas, running at zero cost
  • Speaking & Recognition
  • Earned full sponsorship to speak at GitHub’s flagship developer conference before 1,000+ professionals in San Francisco
  • Will present “When Is Local Copilot Worth It? Three Open-Weight Coders vs. Copilot Out of the Box”
  • Earned full sponsorship to speak before 1,000+ professionals in Paris alongside speakers from Microsoft, Google, and NVIDIA
  • Delivered “De-mystifying PyTorch for ASICs: When (and Why) to Move Your Development to AI Accelerators”
  • Received full sponsorship covering airfare, lodging, and admission to the five-day AWS re conference in Las Vegas
  • Represented the Philippines as the sole Filipino among 340 international grant recipients
  • Dec 2024 – Present
  • Trained 4,000+ students and professionals in AI/ML, software engineering, and data engineering
  • Delivered 25+ talks at SOFTCON and events hosted by AWS, Microsoft, and universities across the Philippines
  • Secured $30,000+ in sponsorships from GitHub, Tavily, and Vercel to support technology education across Luzon
  • Selected by the Philippines’ national technical-vocational authority to validate two AI and data national qualifications.
  • Validated Qualifications AI Prompting for Automation Level III (1) and Data Privacy and Ethics (2)
  • Certifications
    Education
    BS in Computer Science with specialization in Software Engineering, FEU Institute of Technology⁠
    Aug 2022 – Sep 2026

    4-Year President's Scholar with High Honors; CS Academic Varsity; Leadership Awardee

    Awards
    PH100 Honoree⁠, StellarPH
    Sep 2025