Viron Gil Estrada

AI Consultant, Technical Chief of Staff, and AI/ML leader with 6+ years of experience building and shipping high-impact AI systems across engineering, operations, leadership, and media workflows. I build AI systems that work in production, then build the teams and processes to scale them. My background spans generative AI, machine learning, AI agents, automation, and applied research, with a strong focus on speed, leverage, and real business outcomes.

Today, I operate at both the technical and leadership layers: architecting agentic AI workflows and multi-cloud AI infrastructure while helping leaders turn priorities into trackable, shipped work.

Technical Chief of Staff - Momentum Media Group Philippines - Remote

(2026-03)

• Executive Enablement: Serve as the operational force multiplier for the Head of Technology and AI, translating leadership priorities into trackable, shipped work and offloading high-leverage execution from the technology leadership layer.
• CoS Platform & Dashboard: Built an internal Chief of Staff platform with an executive dashboard to centralize execution and provide real-time visibility into ongoing work across teams and departments.
• Google Chat AI Assistant: Built an AI-powered chat assistant integrated into Google Chat for daily briefings, questions about ongoing work, and surfacing action items from meetings and task systems.
• Linear + Granola Integration: Designed and deployed an automated workflow that ingests Granola meeting transcriptions, extracts action items and decisions, and creates structured tasks and issues in Linear, closing the loop between conversations and tracked work.
• Hermes-Agent-Based Workflows: Built Hermes AI Agent orchestration to automate recurring coordination, status reporting, and follow-through tasks across teams and priorities.
• Stakeholder & Department Alignment: Worked directly with stakeholders and cross-functional department teams to gather requirements, clarify priorities, and move initiatives from conversation to execution with tighter visibility and accountability.
• AI Automations for Media Operations: Deployed AI automations supporting multiple media workflows, including systems for article and journal-style content operations for client publications in Australia.
• AI-Native Operations: Used AI tooling to accelerate meeting processing, status reporting, and coordination workflows, reducing operational overhead and improving visibility for leadership.
• Adoption & Enablement: Orchestrated the enterprise-wide rollout of AI capabilities by selecting vendor solutions, integrating them into production workflows, and providing hands-on technical training alongside pragmatic governance frameworks and security protocols to ensure resilient and responsible deployment.

AI/ML Engineer - Afni Philippines, Inc. - Quezon City

(2024-12 - 2026-03)

• Leadership Enablement & Execution: Worked closely with senior leaders as a hands-on technical partner, translating high-level priorities into concrete AI initiatives, unblocking teams, and owning delivery across Engineering, HR, Operations, and Marketing teams.
• Enterprise Recruitment Platform: Led the design and production deployment of an AI-driven hiring platform processing around 5,000 candidates per month. Automated candidate matching across multiple BPO programs including Sales, Technical Support, and Voice and Non-Voice roles, reducing screening time by 50 percent for more than 20 recruiters.
• Cloud-Native Architecture: Designed and implemented a scalable Azure-based backend, containerized with Docker and supported by automated data ingestion using Azure Functions, SQL, and Blob Storage. Built and maintained CI/CD pipelines with GitHub Actions to support rapid iteration and reliable production releases.
• Project and Team Leadership: Led a cross-functional team of machine learning and data engineers across a 12-month product lifecycle, from early prototyping to full production rollout. Increased team velocity by integrating AI-assisted development tools such as Claude Code and GitHub Copilot into the daily workflow.

Senior Machine Learning Engineer - Universal Access and Systems Solutions, Inc. - Pasig City

(2024-01 - 2024-12)

• Internal AI Consulting and Strategy: Served as the primary AI solutions architect, working with HR, Sales, and Marketing teams to identify operational bottlenecks and high-impact AI opportunities. Evaluated and benchmarked platforms including Google Cloud Dialogflow, AWS Bedrock, n8n, Make.com, and multiple LLM providers to shape the company's AI adoption roadmap.
• Technical Leadership and Delivery: Led a cross-functional delivery team through rapid iterations and fail-fast experimentation, moving from proof of concept to stakeholder approval within weeks. Improved team velocity by integrating AI-assisted development tools such as Cursor and GitHub Copilot into the engineering workflow.
• HR Intelligence System: Designed and deployed a production-grade AI chatbot using Python and LangChain, powered by a custom RAG pipeline with Pinecone as the vector database and GPT-4o-mini. Integrated the system into the internal HR portal, enabling instant, context-aware responses across approximately 30 dense policy documents covering benefits and regulatory inquiries.
• Cloud-Native Deployment: Containerized Python and Node.js microservices with Docker and deployed to Google Cloud Run, exposing secure RESTful APIs and implementing CI/CD pipelines via GitHub Actions for automated delivery.

Machine Learning Research Associate - UP Marine Science Institute - Quezon City

(2020-09 - 2023-11)

• Computer Vision Research: Led the development of a custom CNN in TensorFlow for 7-class benthic habitat classification, including coral and seagrass. Improved model accuracy by 15 percent over a baseline SVM through systematic experimentation, tuning, and benchmarking.
• End-to-End Data Pipeline: Built a complete data processing pipeline that converted raw GoPro video footage into more than 10,000 geotagged training images. Automated data extraction, cleaning, and preprocessing to produce a production-ready dataset for deep learning workflows.
• Geospatial Intelligence and Remote Sensing: Designed scalable ML-driven workflows integrating high-resolution satellite imagery from PlanetScope and Sentinel-2 with model-generated ground truth labels. Deployed analysis pipelines in Google Earth Engine to compute NDVI and support bathymetric and reef health monitoring across the West Philippine Sea.
• Applied Research and Delivery: Contributed across a three-year applied research initiative, spanning field data collection, model development, deployment, and validation. Co-authored research findings presented at a national marine science conference, demonstrating real-world applications of deep learning for environmental monitoring.

BS - Applied Physics Major in Instrumentation Physics - University of the Philippines Diliman (2020-07)