AI Researcher & Engineer
Adam
Oentoro
Building intelligent systems at the intersection of machine learning, multi-agent architectures, and real-world applications.
01About
Bridging Research
& Application
I'm an AI researcher and engineer with a passion for building intelligent systems that bridge the gap between academic research and real-world applications.
My MSc thesis at VU Amsterdam explored multi-ontology augmentation for LLM-based systems, developing a multi-agent conversational AI framework that integrates domain ontologies and databases across multiple LLM providers.
Beyond research, I have hands-on experience deploying production-grade systems, including a smart-building automation stack integrating 170+ KNX devices with Home Assistant.
Integrated
02Experience
Work & Career
2026–Present
Infrastructure and Home Automation Engineer
Independent
Designed and operated a smart-building platform integrating 170+ KNX devices with Home Assistant.
2026–Present
AI & Digital Solutions Consultant
Aktiv Asia Management
Evaluated AI and financial software solutions, produced banking and fintech market analysis for Indonesia & Southeast Asia.
2025–Present
Cybersecurity and Infrastructure Consultant
Ankur Consulting
Supported assessments for PCI-DSS, SOC 2, and ISO 27001 across fintech, banking, and manufacturing clients.
2022–2025
Teaching Assistant
Vrije Universiteit Amsterdam
Delivered lab sessions and tutoring across Machine Learning, Deep RL, and Information Management courses.
03Projects
Selected Work
MSc Thesis
Multi-Ontology LLM Framework
Multi-agent conversational AI integrating FoodOn ontology and USDA databases across GPT-4 Mini, Claude 3.5, and Grok 3. Benchmarked 270 simulated conversations.
13.9% performance variation discovered between providers
Research Project
Reinforcement Learning for Robotics
Trained DQL, PPO, and DDPG agents for mobile navigation and manipulation. Successfully transferred policies from simulation to physical hardware.
Sim-to-real transfer achieved
BSc Thesis
Self-Adaptive Systems Profiling
Extended MockSAS with DingNet IoT scenario profile to study multi-armed bandit policies in self-adaptive systems.
Novel IoT scenario for policy benchmarking
Infrastructure
Smart Building Automation
Integrated 170+ KNX devices with Home Assistant. Ansible, Docker Compose, and Tailscale for deployment and secure access.
11 climate zones managed
04Education
Academic Background
2020–2025
Amsterdam
BSc & MSc in
Artificial Intelligence
Select a thesis to view related coursework
MSc Focus: LLMs & Multi-Agent Systems
05Skills
Technical Stack
Languages
- Python
- R
- Rust
- Java
- SQL
AI & ML
- PyTorch
- TensorFlow
- Stable Baselines 3
- CUDA
Infrastructure
- Git
- Docker
- Ansible
- Tailscale
- Nvidia Nsight
- AWS
06Certifications
Certified Credentials
Secure AI/ML-Driven Software Development
Linux Foundation
May 2026
Fundamentals of Open Source IT and Cloud Computing
Linux Foundation
May 2026
AI Infrastructure & Operations Fundamentals
NVIDIA
April 2026
Accelerating End-to-End Data Science Workflows
NVIDIA
March 2026
Getting Started with Deep Learning
NVIDIA
February 2026
Databricks Fundamentals
Databricks
October 2025
Evaluation and Light Customization of LLMs
NVIDIA
September 2025
Accelerated Computing in CUDA C/C++
NVIDIA
September 2025
AWS Machine Learning Foundations
Amazon Web Services
August 2022
07Writing
Blog & Thoughts
View All Writing12 May 2026
Designing an Ontology for Formula 1
Why LLMs struggle with deep, structured questions, and how a domain-specific ontology can model teams, drivers, cars, results, and evolving regulations.
28 Mar 2026
Sustainable AI: Doing AI Without Blowing Up ESG Targets
Exploring the intersection of artificial intelligence and environmental sustainability in modern enterprise systems.