Research-grade methods, production systems.
Anthony is an AI/ML engineer with a doctorate in engineering and roughly eight years building perception and simulation systems at scale. His background sits where classical computer vision, sensor modeling, and modern generative AI meet.
Today he works in the CTO area at Deutsche Börse, designing agentic AI systems for capital-markets infrastructure. Before that, years at Robert Bosch on autonomous driving simulation: synthetic data, Radar/Lidar sensor models, perception, and neural rendering. He likes problems where research methods have to survive contact with real systems.
Where he's worked.
Building agentic AI for capital-markets infrastructure: retrieval-augmented generation, multi-agent orchestration, and LLM-backed tooling, with a focus on reliability, evaluation, and guardrails in a regulated domain.
Autonomous driving simulation and perception. Built synthetic data pipelines and Radar/Lidar sensor models, developed object detection and tracking, and applied neural rendering (NeRF, Gaussian Splatting) to sensor simulation. Later work extended into GenAI, RAG, and multi-agent systems. Output includes peer-reviewed publications and patents.
Topics he has covered include.
Things he's building.
Voyager
A self-hostable personal portfolio manager: broker CSV import, AI-powered natural-language queries over your holdings, German tax helpers, and a customizable widget dashboard.
Read-it-Later, reimagined
An AI-powered read-it-later and content app: capture, summarize, and resurface long-form reading with LLM-assisted organization.
Talking Action Figure
A DIY voice-interactive action figure running a local LLM on edge hardware. A build exploring on-device speech and personality.
h7ai
A portfolio and job-matching app built as a learning-by-doing project, pairing candidate profiles with AI-engineering roles.
Tools of the trade.
AI / ML
- RAG & retrieval systems
- LangGraph · multi-agent
- Evaluation & guardrails
- NeRF · Gaussian Splatting
- PyTorch
Engineering
- Python
- FastAPI
- TypeScript · Next.js
- Docker · Kubernetes
- GCP · Vertex AI
Domains
- Autonomous driving
- Perception (detection / tracking)
- Synthetic data generation
- Radar / Lidar sensor models
- Agentic AI for finance
Let's talk.
Open to conversations about AI, perception, and applied ML. Email is the fastest way to reach him.