Available for Consulting

Marc Castro builds AI systems that survive production.

Tech consultant and lead AI engineer for enterprise RAG, agentic workflows, document intelligence, and LLMOps platforms. I help teams move from promising prototypes to governed, observable systems with business impact.

MS Data Science. Published researcher. Trusted by teams across AIA, Ayala Group, PSHS, and UK enterprise AI programs.

Consulting Services

Engagements designed for business outcomes: faster operations, lower manual effort, and production-grade AI systems that your team can actually maintain.

Service 01

Enterprise RAG and LLM Integration

Build secure, citation-grounded assistants over internal documents using hybrid retrieval, access controls, and production deployment patterns.

  • Knowledge chat over proprietary data
  • Hybrid retrieval with evaluation loops
  • Role-based access and governance controls

Service 02

Agentic Workflows and Automation

Replace repetitive operations with AI-assisted workflows using Python, n8n, and API-first orchestration that connects directly into your current stack.

  • Back-office and support automation
  • Multi-step agent pipelines with guardrails
  • KPI-focused rollout and iteration

Service 03

Corporate AI Enablement and Training

Upskill leaders and teams to adopt GenAI responsibly through hands-on workshops, role-based playbooks, and practical implementation roadmaps.

  • Executive and team-level AI workshops
  • Department-specific AI use case mapping
  • Adoption plans aligned with risk and compliance

Trusted by teams in enterprise, government, and education

Intelligent AI Solutions (UK) AIA Group Ayala Group Department of Health Department of ICT Philippine Science High School System TDCX AI Singapore Philippine Genome Center

Complex RAG requirements translated into production-ready systems that internal teams can adopt quickly.

Engagement theme: Enterprise delivery and adoption

Automation work that reduces manual workload while maintaining strong technical governance.

Engagement theme: Operations efficiency

AI training designed to move teams from theory to practical implementation in day-to-day workflows.

Engagement theme: Team enablement

Marc Castro

Researcher turned
production AI engineer

I started doing AI and data science research during my undergraduate years at UP Diliman in 2018, then continued as a research associate at the Philippine Genome Center, co-authoring papers on SARS-CoV-2 genomic surveillance and building data pipelines for national genomic analysis. That foundation in rigorous, reproducible science shaped how I approach engineering problems today.

From there I moved into industry — data science at AIA (Asia-Pacific's largest insurance group), then managing AI initiatives at TDCX AI in Singapore, and now leading enterprise LLM development at Intelligent AI Solutions, a UK-based consultancy. Along the way I've won 4 national and international hackathons, trained corporate and government teams on AI, and consulted for the premier Philippine Science High School System on data-driven student outcomes.

I’m most energized by the friction between 'it works in a notebook' and 'it runs reliably at scale.' My focus is on the invisible infrastructure that makes AI viable: async pipelines, rigorous evaluation frameworks, rate-limiting, and drift detection. I don’t just build models; I build the architectural systems that move AI out of the lab and into the core of how modern enterprises actually work.

7+ Years in AI/DS
30+ Production-Level Projects
Hackathon wins

Experience

From genomics research to enterprise LLMs — a career built on turning complex data problems into reliable systems.

Independent Contractor · Lead AI Engineer · Tech Consultant

Intelligent AI Solutions — UK-based Enterprise AI Consultancy

● CURRENT

Sep 2024 → Present

  • Led end-to-end development of enterprise LLM solutions: a media monitoring system for large-scale bias detection, and a RAG knowledge management system for a global travel agency — driving operational efficiency and data-driven decision making.
  • Spearheaded AI research and production deployment: advanced RAG architectures, fine-tuning methodologies, scalable LLM implementations, agentic chatbot solutions, and automated workflow systems across multiple industries.

WHAT THIS MEANS FOR YOU

Your AI project won't get stuck at prototype. I've taken RAG systems, media intelligence platforms, and agentic workflows from first commit to enterprise production — across industries and tech stacks — without the usual 18-month consultancy timeline.

Data Science Instructor & Mentor

CIIT & Eskwelabs

Nov 2023 → Present

  • Instructor and mentor for workshops, bootcamps, hackathons, and trainings focused on AI, No-Code AI, and Data Science — clients include government organisations, corporate executives, and professionals from diverse backgrounds.

WHAT THIS MEANS FOR YOU

Your team leaves the engagement actually using AI — not just having heard about it. I've run hands-on sessions for government agencies and C-suite executives built around real workflows, not slide decks. The change sticks.

Senior Data Science Consultant

PSHS – Knowledge Innovation Division

Sep 2024 → Dec 2025

  • Spearheaded data science initiatives for the Philippine Science High School — student performance management and data-driven curriculum enhancement for targeted academic interventions.

WHAT THIS MEANS FOR YOU

Non-technical stakeholders can actually use what I build. I've delivered AI systems to educators and administrators with zero data science background — which means your team doesn't need to hire a data scientist to operate the tools I hand over.

Global Data Science Manager

TDCX AI — Singapore

Aug 2023 → Sep 2024

  • Developed a Forecasting Model streamlining Workforce Management tasks by integrating predictive analytics and simulation capabilities in a user-friendly interface.
  • Built an LLM-powered web application generating realistic simulation scenarios for agent training — reduced time to proficiency by at least 20% and delivered near-real-life customer conversation experiences during onboarding.

WHAT THIS MEANS FOR YOU

Your people get up to speed faster. At TDCX I shipped an LLM simulator that cut agent training time by over 20% at a global BPO — a measurable productivity gain you can put in front of your CFO.

Data Scientist

AIA Digital+ — Asia-Pacific

Aug 2022 → Aug 2023

  • Designed and implemented an end-to-end data pipeline for Next Best Action (NBA) campaigns — reduced required FTE for NBA model development by up to 95%.
  • Developed a comprehensive Fraud Detection solution to automate claim request approvals — projected 25% reduction in processing times, enhancing operational efficiency and customer satisfaction.

WHAT THIS MEANS FOR YOU

Your high-volume, repetitive processes get automated without a 2-year enterprise project. At AIA I cut model development headcount by 95% and claim processing time by 25% — inside a single engagement, at Fortune 500 scale.

Senior Research Associate — Analytics & Visualization

Philippine Genome Center

Sep 2020 → Mar 2021

  • Reduced reporting times for genomic analysis of SARS-CoV-2 samples through custom data pipelines and analytical modules.
  • Co-authored multiple peer-reviewed papers on emerging SARS-CoV-2 variants within the Philippines, published in international journals.

WHAT THIS MEANS FOR YOU

The AI I build holds up under scrutiny. My pipelines ran in a national COVID-19 response programme — where accuracy wasn't a nice-to-have. That same rigour applies to every system I build for clients.

Education

Master of Science in Data Science

Asian Institute of Management

Mar 2021 – Jun 2022 · Graduated 2022

BS Applied Physics — Instrumentation

University of the Philippines – Diliman

Aug 2015 – Jun 2020 · Graduated 2020

Tools & technologies

Full-stack AI Engineering — from model integration to deployment infrastructure.

LLMs & Gen AI GPT-4o / o1, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama · Local LLMs, Stable Diffusion, Hugging Face, Fine-tuning · LoRA, Prompt Engineering
RAG & Retrieval RAG Architectures, Agentic RAG, ChromaDB, Azure AI Search, Semantic · Hybrid Search, Cohere Rerank, LlamaIndex, LangChain, OCR · Document AI
ML & Data Science scikit-learn, PyTorch, XGBoost · LightGBM, Time Series Forecasting, Computer Vision, NLP · Text Processing, Statistical Analysis, Pandas · NumPy
Backend & APIs Python, FastAPI, Flask · Quart, REST · Async APIs, Pydantic, Laravel, Node.js
Agentic & Tooling Claude Code, Cursor, GitHub Copilot, Agentic Workflows, Multi-agent Systems, Tool Use · Function Calling, MCP Servers
Automation & No-Code n8n, Zapier, No-Code AI, Workflow Automation, API Integration
Databases & Storage PostgreSQL · MySQL, DuckDB, CosmosDB, SQLite, ChromaDB · Vector DBs, Redis, Azure Blob Storage
MLOps & Pipelines MLflow, DVC, Evidently AI, Papermill, Docker, CI/CD · GitHub Actions, Weights & Biases
Cloud & Infrastructure Azure · Azure OpenAI, Azure AI Foundry, Azure Container Apps, GCP · Vertex AI, AWS, Azure AD · RBAC, Bicep · IaC
Analytics & Visualisation Streamlit, Power BI · Tableau, Plotly · Matplotlib, Jupyter, NetworkX, SQL Analytics

9 AI case studies with measurable outcomes, architecture decisions, and implementation proof

Each case starts with business impact, then shows the architecture and code-level decisions used to achieve it. In Know More, every project includes proof points for reliability, governance, and delivery quality.

Metrics shown are from project-specific observation windows and can be discussed in detail during interviews.

Awards & Publications

Hackathon Winner
122 Teams Beaten (Intl.)
Published Research
1st

ICSC Hack-A-Street 2025

National · 13 teams · gravity model for retail site selection

Champion
1st

DOH-DAP Hack4Health 2024

National · 100+ teams · fraud detection platform

Champion
2nd

UN Big Data Hackathon 2023 — Youth Track

International · 122 teams · Best Youth Team, Asia

Intl. Finalist
3rd

USHER Hackathon 2022

National · ML pipeline for building damage early warning

3rd Place

Peer-Reviewed Publications

Detection and genome sequencing of SARS-CoV-2 belonging to the B.1.1.7 lineage in the Philippines. doi: 10.1128/MRA.00219-21 ↗
Genome sequencing and analysis of an emergent SARS-CoV-2 variant from Central Visayas, Philippines. doi: 10.1101/2021.03.03.21252812 ↗
A directed minimum connected dominating set for protein-protein interaction networks. isbn: 9780367814656 ↗

Speaking & Training

Delivering AI education to government agencies, universities, and corporate teams across the Philippines and Southeast Asia.

01 — Government

AI Technology Government Trainings

Department of Information & Communication Technology · ICT Literacy and Competency Development Bureau

Aug 2025 · Nov 2025

BANT.AI: Revolutionising Fraud Detection with Unified Health Data

Department of Health · 20th National Health Research Forum for Action

Oct 2024

02 — Universities & Colleges

The Art of Data Storytelling and Data Visualization

University of Santo Tomas — Dept. of Computer Science · HORAIZON

Mar 2023

Breaking Bias in AI

Far Eastern University Institute of Technology · FEU Tech ACM

Jun 2023

Breaking into Tech Consulting Within 5 Years

Asian Institute of Management - Career Services Office

Mar 2025

03 — Corporate Trainings

Generative AI & Low Code for Corporate Teams

Ayala Group — Various organisations from the Ayala Group of Companies

Jun 2025 – Sep 2025

N8N: Automation Tools for E-Commerce

Carousell Singapore · IT, Marketing & HR teams

Aug 2025

Let's scope your AI use case

Need help designing or shipping an AI system? Start with a free 15-minute discovery call. We will identify your highest-value use case, map feasibility, and define the fastest path to production.

Book a 30-Minute AI Strategy Call

Prefer email first? Reach me directly at mcastro.dsci@gmail.com.