About Me – AI & Machine Learning Consultant in Munich
With over a decade in IT and five years in AI/ML, I help businesses worldwide harness artificial intelligence for real results.
Who I Am & What I Do
I’m Benedikt Huber, an AI and Machine Learning Consultant based in Munich, Germany, working with businesses across Europe and worldwide. I help companies — especially small and medium-sized enterprises (SMEs) — unlock the potential of artificial intelligence by turning advanced technology into practical, results-driven solutions.
Many business owners know that AI has the potential to transform their operations, but they often struggle with questions like: Where do we start? Which use cases actually make sense for us? How do we implement AI without wasting time and money? That’s where I can help.
I specialize in AI consulting and process automation for SMEs. My focus is on identifying real-world opportunities where artificial intelligence can deliver measurable value — from automating manual document workflows, to building custom LLM integrations (Large Language Models such as GPT) that handle everyday tasks like email processing, contract analysis, or customer support. Beyond text and language, I also design computer vision and optimization models for use cases such as predictive maintenance, energy management, and workflow optimization.
With a strong academic background in computer science and several years of industry experience as a machine learning engineer, I bring both deep technical expertise and a practical business mindset. Unlike generic off-the-shelf tools, my solutions are tailored to your specific needs and can be seamlessly integrated into your existing systems.
My mission is to make AI consulting in Munich and beyond accessible to companies that want to stay competitive, reduce costs, and gain a real edge in their industry.
My Background & Journey
My path into AI and machine learning consulting wasn’t a straight line — it started with a deep curiosity for technology and a willingness to solve real problems for people around me. When I was first looking for work opportunities, no one in my network had a traditional job opening for me — but many needed help with their internal IT systems, websites, and custom software tools. That was the beginning of my career as an IT consultant and software engineer.
Over the years, I gained experience across a wide range of technical fields: from low-level development like driver programming and highly optimized algorithms, to high-level applications such as mobile app development and web platforms. This hands-on foundation taught me not only how to code, but how to design solutions that work reliably in real-world business environments.
Almost a decade ago, I first came across the emerging field of artificial intelligence and machine learning. At first, it was a side interest — but while working as an IT consultant, I realized how much potential these technologies had to transform the way companies operate. I began extensively teaching myself ML and gradually shifted my focus toward AI-driven projects. For the past five years, I’ve worked on projects spanning natural language processing (NLP), computer vision, and optimization models.
Along the way, I noticed a pattern: SMEs in particular struggle to see how AI could fit into their day-to-day operations. The field is evolving quickly — moving away from training models from scratch toward leveraging powerful pre-trained models (such as GPT and other LLMs) and integrating them into existing workflows. This opens enormous opportunities for businesses that want to reduce costs, improve efficiency, and create new value streams without the heavy investment previously required for AI adoption.
On top of my technical experience, I’ve developed a business mindset through my personal interest in investing. Thinking about capital allocation and return on investment gave me a new perspective: AI isn’t just about algorithms, it’s about making smart investments into technology that deliver measurable impact.
This unique combination — broad software engineering expertise, deep machine learning experience, and a strong business sense — allows me to help companies identify high-value AI opportunities and turn them into working solutions.
Experience & Expertise
My path into technology started early. While still in school, I spent summers and holidays working in a family business and doing internships, gaining hands-on experience in how IT supports real business needs. This practical foundation sparked my interest in problem-solving through technology.
I went on to complete a Bachelor’s degree in Computer Science, which gave me a solid grounding in software engineering, algorithms, and system design. After graduating, I took the leap into freelancing as an IT consultant, supporting clients with projects ranging from setting up internal IT systems to developing custom software tools.
During the COVID years, I decided to further specialize and pursued a Master’s degree in Computer Science, focusing on machine learning and AI. Although there were only a limited number of courses available at the time, I used the opportunity to deepen my expertise through self-study — diving into online courses, research papers, and hands-on projects.
Since then, I’ve shifted my focus toward machine learning and AI consulting, working on projects that include natural language processing, computer vision, optimization, and AI-powered automation. My technical background allows me to move seamlessly between low-level implementations (like optimized algorithms or driver development) and high-level applications (like web, mobile, and workflow automation).
What sets me apart is not just my academic background or years of project experience, but also my commitment to continuous learning. AI is evolving at an unprecedented pace, and I stay on the cutting edge by experimenting with new models, following scientific research, and integrating the latest tools into my consulting practice.
My Mission & Values
My mission is simple: help small and medium-sized businesses unlock the real value of AI. While large corporations have the resources to experiment with new technologies, SMEs often struggle with limited time, budget, and expertise. Yet, I believe this is exactly where AI can have the biggest impact — by automating repetitive tasks, making smarter use of data, and opening up new opportunities for growth.
I see AI not as a buzzword, but as a practical tool for solving real business problems. Whether that means automating manual workflows, improving decision-making with predictive insights, or making existing systems smarter, my goal is always the same: to deliver solutions that save time, reduce costs, and create measurable value.
My values reflect how I approach every project:
- Clarity over hype – I focus on clear explanations, realistic expectations, and solutions that make sense for your business.
- Collaboration – I work closely with clients, listening first, and then building AI systems together that actually fit their needs.
- Practical results – My background as a software engineer means I don’t just design ideas, I build working solutions that integrate seamlessly into your existing processes.
- Long-term perspective – I’m not interested in quick wins that don’t last. My goal is to create systems that grow with your company and continue to deliver value over time.
For me, AI is not about replacing people, but about empowering them to do more of the meaningful work while machines handle the repetitive and time-consuming tasks.
My Approach: How I Work With Clients
I know that for many businesses, AI can feel complex, expensive, or even overwhelming. That’s why I’ve developed a clear and simple way of working with clients — so you know exactly what to expect and can see value quickly.
Here’s how I typically work with clients:
1. Understanding Your Business
Every project starts with listening. I take the time to understand your company, your processes, and where the biggest challenges or inefficiencies lie. Instead of pushing technology for its own sake, I look for opportunities where AI can actually deliver measurable improvements.
2. Identifying the Right Use Cases
Not every process is worth automating, and not every AI solution makes sense for every business. Together, we identify the use cases that are most likely to bring value — whether that’s automating document processing, forecasting demand, or streamlining customer support.
3. Proof of Concept (PoC)
Before making a big investment, I help you test ideas with a focused proof of concept. This allows us to quickly validate whether an AI solution works in your environment and delivers the expected benefits.
4. Implementation & Integration
Once we’ve proven the value, I develop and integrate the AI solution into your existing workflows and systems. My background as a software engineer ensures that everything works smoothly in practice — not just on paper.
5. Knowledge Transfer & Empowerment
I don’t just hand over a system and leave. I make sure your team understands how to use it, maintain it, and benefit from it. If needed, I also provide training on how employees can make better use of AI tools in their day-to-day work.
6. Ongoing Support & Optimization
AI is not a one-time project — it evolves as your business evolves. I stay available to monitor performance, fine-tune models, and help you discover new opportunities for automation and optimization over time.
The result? A step-by-step journey from idea to measurable business value — without unnecessary complexity or risk.
Beyond Work: Who I Am Outside of Consulting
While AI and technology are my professional focus, there’s more to me than just work.
Outside of projects, I enjoy spending time in nature — whether it’s hiking through the mountains or recharging at the gym. I also have a strong interest in economics and financial markets, where I’ve been an active and passive investor for over 12 years. This passion goes beyond just numbers; I enjoy exploring algorithmic trading strategies, portfolio management approaches, and learning how capital can be deployed effectively — an interest that also shapes my business mindset.
Another important part of my life is giving back. I’m a co-founder of Bundesvereinigung Inklusion e.V. (BV-I), a non-profit that supports people with disabilities and special needs. Our mission is to give them a political voice and create projects that help them succeed and live more independently. This work keeps me grounded and reminds me why technology should ultimately serve people.
On a lighter note, I enjoy cooking, experimenting with new recipes, and I’ve even developed a bit of a reputation for my cakes. Friends and family often say they’re reason enough to come visit.
These personal passions — from hiking and investing to non-profit work and baking — all reflect who I am: curious, dedicated, and eager to make a positive impact, both professionally and personally.
