Alexey Berezka
I bring AI into industrial work - and build my own in public.
At Kyocera's automotive and industrial unit the job is in-house consulting plus engineering: first interviews and process maps with the people who do the work, then the AI tools that fit, whether Microsoft 365 Copilot, Claude, OpenAI or something else. Before that, over three years of safety-critical automotive software at ZF, where code ships only when it holds.
AI systems I've built and run in production
Not demos. Each of these runs on my own infrastructure, every day.
JARVIS - Multi-Agent AI Operating System
DeepSignal - Autonomous LLM Pipeline
Hybrid RAG Knowledge System
Self-Hosted AI Infrastructure & MCP
Web Design & Development
From factory floor to AI deployment
Kyocera Automotive and Industrial Solutions
Focus: in-house consulting - process analysis and interviews, AI tool evaluation, governance and adoption - plus building Copilot agents and flows. Working student 05-09/2026, full-time since 10/2026.
Karlsruhe Institute of Technology
Executive master's programme at KIT HECTOR School (90 ECTS, ~20 months), KIT's technology business school for working engineers. Thesis submitted 09/2026, degree expected 10/2026. The curriculum mixes engineering depth (digital platforms, AI, software, security) with management breadth (strategy, decisions, finance, innovation), with a specialisation in Autonomous Robotics - smart manufacturing and Industry 4.0. It changed how I think about technology decisions: not "what's technically possible" but "what's the right thing given strategy, capability and risk."
ZF Pilsen
Shipped embedded software for production ECUs in a regulated, safety-critical environment. Cut validation cycles 25% by automating HiL testing pipelines.
Typhoon Research & Production Association
Worked on measurement systems for aviation weather monitoring, in a regulated environment where the documentation had to be exact.
Stream
Built predictive models for customer segmentation and automated reporting pipelines - eliminating 40% of manual analyst workload.
Technology I work with
Most AI work stops at the slide deck. I build it into the daily work - and stay until it holds.
I'm Alexey. I work on AI and digital transformation at Kyocera Automotive and Industrial Solutions in Dietzenbach: working student 05-09/2026, full-time since 10/2026. Most of the job is in-house consulting: I talk to the people who do the work, map how it really runs, check which AI tools fit and help set the rules for using them. Then I build with whatever fits - Microsoft 365 Copilot, Claude, OpenAI or another AI tool - where it earns its place. In my own time I build AI in public - a personal assistant that wires together Claude, OpenAI and Perplexity, ML research on trading signals, and this site. All of it runs on my own servers, every day.
At KIT I wrote my master's thesis on how manufacturers actually adopt AI: a decision model for AI-based image processing in manufacturing SMEs, built on expert interviews and real decision criteria rather than vendor hype. I submitted it in September 2026; the degree is expected in October 2026. It keeps my work honest about what AI can and can't deliver.
Before AI I wrote safety-critical automotive software at ZF for over three years, and before that worked on aviation measurement systems and data analytics. In those fields nothing ships until it holds under real conditions. That's the bar I bring now: AI that survives production, not just the demo. Off-screen you'll find me in the gym, on the road, or running the next experiment - in four languages (EN · RU · DE · CZ).
What keeps me sharp
Gym & discipline - training most days.
Photography - I shoot and share on Instagram.
3D printing & design - functional prints and STL models I publish on MakerWorld.
Languages - Russian, English, German and Czech; Italian next.
An engineer who speaks both languages
I sit between the server room and the boardroom. I can write the code, secure the infrastructure and design the data pipeline - and then explain to leadership, in plain business terms, what it costs, what it returns and where the risk is. AI built on EU data boundaries, with GDPR and the EU AI Act treated as design constraints, not afterthoughts.
Life & Work on Instagram
Write to me
A question about a project or a post, an idea to compare notes on, or just hello - the form lands straight in my inbox. I answer in English, German, Russian or Czech.