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Senior AI Engineer

10+ Years Building Enterprise ML

I integrate AI into systems that were not designed for it, from legacy core platforms to modern microservices. Production AI with human-in-the-loop design, systems that know when to act and when to ask.

Brownfield AI Focus | M.Sc. RWTH Aachen | Germany | Global

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Thorsten Born

THORSTEN BORN

About Me

With 10+ years building production ML systems, I focus on what makes AI succeed in enterprise environments: clear expectations, strong guardrails, and measurable outcomes. The goal is not blind automation, it is reliable decision support that teams can trust. I help companies reach realistic AI maturity on existing codebases with impact they can track.

My engineering path started early: in high school, I designed the electronic control system for a patented fire simulation device, from PCB design to Windows GUI. That full-stack mindset still guides my work today. At HDI and EdgeIQ, I modernized legacy platforms and integrated AI into business-critical workflows. With an M.Sc. from RWTH Aachen and a background in probabilistic modeling, I build systems that handle uncertainty and hold up in production.

What sets me apart: I focus on measuring impact, not just shipping features. I design confidence-based routing, human approval gates, and KPI frameworks so teams can see quality, speed, and cost impact continuously. From production RAG systems with measurable relevance gains to enterprise platforms running at scale, I build AI that knows when to act and when to ask for help.

I enjoy making complex legacy environments AI-ready and enabling teams to operate systems independently after rollout. I am open to full-time roles, consulting engagements, and advisory work where measurable business impact is the priority.

Based in Germany, available globally. German (native) | English (fluent). Open to full-time roles, consulting engagements, and advisory positions. If you need production AI with measurable outcomes, let's talk.

Experience & Education

Roles, projects, and academic foundations focused on shipping measurable outcomes in production environments.

Work
Education
2025
2025 - Present

AI Engineer

Independent

  • EdgeIQ platform architecture (advisory)
  • Delivered AI/ML workshops for enterprise clients
2023 - 2025

Senior Data Architect

EdgeIQ

  • Architected enterprise IoT workflow platform with 15 custom Node-RED nodes and full OpenTelemetry observability
  • Built 10+ React dashboard components with custom hooks for real-time IoT fleet visualization
  • Designed Generic Timeseries API (Go/TimescaleDB) reducing dashboard development from weeks to hours
2023 - 2024

Founder & Lead Developer

Zeitgaist

  • Built production RAG pipeline with two-stage retrieval (Sentence Transformers + cross-encoder) serving 6 social platforms
  • Implemented cross-lingual search supporting 20+ languages with automatic query translation
  • Designed real-time WebSocket streaming with MessagePack serialization for AI chat responses
2021 - 2023

Co-founder & Lead Developer

Foretale

  • Co-founded no-code trading platform with visual workflow automation for cryptocurrency strategies
  • Built distributed ML backend (FastAPI/Ray/PyTorch) for real-time sentiment analysis and OCR
  • Created custom Node-RED fork with 25+ trading nodes and Svelte-based UI components
2020 - 2022

Data Scientist & Data Engineer

HDI (Talanx Group)

  • Built NLP pipeline achieving >95% automation rate for customer email processing using spaCy and custom NER
  • Deployed Planet.AI handwriting recognition enabling straight-through processing of handwritten forms
  • Presented predictive analytics strategy to Life Insurance Board Member (Vorstand)
2019 - 2022 (Part-time)

Consultant & Developer

TurnDigital

  • Developed ML models for sales forecasting, enabling data-driven inventory decisions
  • Consulted on IT infrastructure modernization for small and medium businesses
2018 - 2020

Master of Science in Electrical Engineering, IT, and Computer Engineering

RWTH Aachen University

  • Focus on Machine Learning, Embedded Systems, and High Performance Computing
  • Applied reinforcement learning to optimize ICU treatment policies
  • Thesis: "Evolving Behavior Trees for Reinforcement Learning on Medical Databases" (Grade: 1.0)
2017 - 2018

Software Engineering Intern

Silexica

  • Built Yocto layers enabling SLX Tools to analyze embedded applications for parallelization
  • Demonstrated AUTOSAR Adaptive analysis identifying 8x speedup potential on multi-core platforms
  • Supported 6 processor architectures (ARM, MIPS, PowerPC, x86) for cross-platform analysis
2013 - 2018

Bachelor of Science in Electrical Engineering, IT, and Computer Engineering

RWTH Aachen University

  • Strong foundation in electrical engineering and computer science fundamentals
  • Hands-on experience with embedded systems and signal processing
Summer 2007

Electronic Control System Developer (Intern)

Halfkann + Kirchner

  • Designed electronic control system for patented fire simulation device (DE102008011567B4)
  • Built custom PCB and programmed ATmega microcontroller in C/Assembler
  • Created Windows GUI enabling engineers to draw custom fire progression curves