I'm an MSc graduate in Artificial Intelligence from VU Amsterdam, specializing in Reinforcement Learning, LLM systems, and intelligent infrastructure. Currently working as an AI consultant and infrastructure engineer, bridging the gap between cutting-edge AI research and real-world deployment.

• MSc in Artificial Intelligence, Vrije Universiteit Amsterdam (2023–2025)
• BSc in Artificial Intelligence, Vrije Universiteit Amsterdam (2020–2023)

• Producing technical content and thought leadership for financial services and fintech markets
• Supporting market research and client strategy in Southeast Asian markets
• Contributing to pre-sales discussions and vendor evaluations

• Security framework assessments (PCI-DSS, SOC 2, ISO 27001) for fintech, banking, and manufacturing clients
• Tailoring compliance controls and technical implementations for diverse environments

• Designed production-grade smart home infrastructure with 172 KNX devices integrated via Home Assistant
• Built deployment pipelines with Ansible, Docker, and Tailscale VPN
• Engineered multi-zone climate control with real-time monitoring and visualization

MSc Thesis — Multi-Ontology Augmentation for LLM-Based Cooking Instruction

• Multi-agent conversational AI integrating FoodOn ontology and USDA databases
• Benchmarked GPT-4, Claude 3.5, and Grok across 270 simulated teaching conversations
• Established deterministic experiment pipeline with linguistic profiling of LLM pedagogical strategies

Ansible Homelab Configuration

• Infrastructure-as-code for Matrix Synapse, Lancache, Nginx, and coturn
• Automated deployment with vault-encrypted secrets management
• Active development (March 2026)

RESTful API Development

• Backend API design and implementation in Python
• Demonstrates production API patterns and best practices

Python Library for Self-Adaptive Systems Research

• Rapid scenario deployment for SAS behaviors and RL-based adaptation strategies
• DingNet IoT profile for multi-armed bandit decision policy benchmarking

Programming: Python, Java, Rust, SQL
AI/ML: PyTorch, TensorFlow, Stable Baselines3, LLM evaluation & customization
Infrastructure: AWS, Docker, Ansible, Home Assistant, KNX systems
Security & Compliance: PCI-DSS, SOC 2, ISO 27001 frameworks
Specialties: Reinforcement Learning, LLM Integration, Infrastructure Automation, IoT Systems

• Databricks Fundamentals (2025)
• NVIDIA: LLM Evaluation and Light Customization (2025)
• NVIDIA: Accelerated Computing in CUDA C/C++ (2025)
• AWS Machine Learning Foundations (2022)

• Email: oentorofadam@gmail.com
• LinkedIn: adam-oentoro-15950a1b2
• Location: Amsterdam, Netherlands

Open to collaboration on AI research, infrastructure projects, and consulting opportunities!

Building intelligent systems from research to production 🚀