AI Agents
Exploring agent architectures, memory, tool use and autonomous workflows for real-world tasks.
- Agents
- RAG
- Tools
/Research
Research
Questions I'm exploring at the intersection of software, artificial intelligence and computation.
I enjoy turning complex problems into working systems — from understanding engineering drawings with AI to building autonomous agents and exploring quantum computing. This page collects my research directions, notes, experiments and ongoing work.
// research.ts
const research = { focus: [ "AI Agents", "Engineering Intelligence", "Quantum Computing", "LLM Systems", ], goal: "Turn research into real-world products",};>Explore the research areas below
Curiosity builds better worlds.
/Research Areas
Main Research Directions
Long-term topics I'm exploring and building in. Each area connects to projects, notes and experiments.
Engineering Intelligence
Teaching machines to understand engineering drawings and industrial documents.
- P&ID
- Computer Vision
- Graph
Quantum Computing
Learning and experimenting with quantum algorithms, quantum hardware and computational models.
- Qubits
- Algorithms
- IonQ
LLM Systems
Building and evaluating LLM applications, RAG systems and domain-specific knowledge management.
- RAG
- LLM
- Knowledge Graph
/Featured Research
Highlighted Work
Current and ongoing research projects.
01 / Engineering Intelligence
P&ID Digitizer
From engineering drawings to structured engineering graphs. Using computer vision, layout analysis and graph reasoning to digitize P&ID drawings.
- Computer Vision
- OCR
- Graph
- DEXPI
Private (in progress)2026
02 / AI Agents
Agent Framework Experiments
Exploring agent architectures, memory systems and tool use for real-world automation tasks.
- Agents
- Tool Use
- Multi-Agent
In development2026
03 / Quantum Computing
Quantum Experiments
Learning quantum algorithms and experimenting with quantum hardware (e.g. IonQ) and simulators.
- Qubits
- Qiskit
- IonQ
- Algorithms
Research notes2026
/Recent Notes
Research Notes
Thoughts, summaries and technical notes.
DINO and DETR-like Models for Engineering Drawings
Summary and implementation notes for DETR, DINO and related work.
RAG System Design for Domain Knowledge
Designing RAG pipelines for engineering documents.
Quantum Algorithms for Beginners
Notes on basic quantum algorithms and hands-on experiments.
Agent Memory and Tool Use
Exploring memory architectures for long-term agents.
/Papers & Resources
Reading List
Key papers, articles and resources I'm following.
- DINO: DETR with Improved DeNoising Anchor BoxesPaper
Zhang et al. · 2022
- An Image is Worth 16x16 Words: Vision Transformer (ViT)Paper
Dosovitskiy et al. · 2021
- Paper
Graph Neural Networks for Engineering Applications
Wu et al. · 2023
- LLM Powered Autonomous AgentsArticle
Lilian Weng · 2023
- Book
Quantum Computation and Quantum Information
Nielsen & Chuang · 2010
/Experiments
Playground
Small experiments, demos and explorations.
LLM RAG Playground
Experimenting with RAG pipelines on engineering documents.
Quantum Circuit Simulation
Testing simple quantum algorithms with Qiskit.
P&ID Symbol Detection (Demo)
Testing detection models on sample drawings.