Agentic AI systems
Turn LLMs into reliable workers with orchestrated agents that retrieve your data, call your systems, and complete real tasks.
AI Engineering for Mid-Sized Companies · Munich
AI systems that make it into production.
From LLM agents and retrieval to self-hosted speech recognition: I design, build, and roll out AI systems end-to-end, backed by a PhD in speech AI and a lot of systems that are running in production today.
15+ years
of software engineering
5M+ calls/yr
on a speech platform I built
1,200+
research citations
Enterprise experience, applied to mid-sized companies
WACKER
MaibornWolff
LMU München
TUM
Currently: AI workspace pilot for a large fitness and wellness operator with several hundred thousand members.
What I build
One person, full stack: strategy where you need it, working software where it counts. Every engagement hands-on, for companies of 50 to 2,500 people without an in-house AI team.
Secure AI workspaces for your team
Give your teams one governed access point to AI: agents, reusable workflows, roles and guardrails. Piloted small and built to scale company-wide.
Voice & speech AI
Build speech interfaces on PhD-level foundations, including self-hosted, on-premise recognition where your audio can't leave the building.
Full-stack product engineering
Move from idea to running product with one engineer who covers backend, frontend, mobile, embedded, and deployment.
AI strategy & due diligence
Make build-or-buy decisions on solid ground with feasibility checks, architecture reviews, and roadmaps written by someone who implements them.
Machine learning & data
Predict what matters: churn, demand, quality. Models built on your data, integrated into your daily operations.
Track record, not promises
Real numbers from real projects in research, enterprise, and industry.
5M+
API calls per year on a speech platform I built and ran
10+
industries, from chemicals and automotive to fitness
14
peer-reviewed papers in computer vision, data infrastructure, and speech AI with 1,200+ citations
What I learned in enterprise projects and research used worldwide, I bring to companies without an in-house AI team. The common thread is software that ships.
How I work
Sprint-based, remote-first, and demo-driven. You see working software every two weeks, not slideware.
1
Intro call
We scope your problem and I give you a straight answer on feasibility, effort, and fit. Free, no obligation.
2
First sprint
Two weeks, one clear goal, working software demoed at the end, documented in English or German.
3
Scale or stop
Continue sprint by sprint as long as it pays off. Either way, you keep the code, the docs, and the know-how.
Dr. Thomas Kisler
I've spent 15+ years building software and a good decade of that building AI. From a PhD in speech AI at LMU Munich (magna cum laude, 14 published papers) to leading data science teams in consulting and leading enterprise-wide projects at Wacker Chemie AG.
Today I do what I like best: working directly with teams to take AI from idea to adopted product. Programming and translating between business and technology included.
Scrum PSM & PPO certified
German & English, business-fluent
Munich-based, works remote