I specialize in building end-to-end AI solutions, from data collection to deployment and maintenance, leading teams to deliver impactful results.
From classical ML to Deep Learning and Fine Tuning LLMs
Building scalable and efficient data pipelines.
Using cloud services to build scalable and efficient solutions.
Building efficient workflows with Power Platform and N8N.
2025-12-01 · 6 min read
Stop being the "Standardization Police." With GitHub SpecKit, bake your enterprise rules into AI's Constitution and let compliance happen automatically.
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2025-11-25 · 6 min read
The smartest engineers don't build what they can configure. Decouple Compute from Communication. Let Python do the math, and Power Automate handle the notifications.
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2025-10-22 · 7 min read
The Full-Stack AI Engineer conversation is critical, but it misses one crucial layer: the UI. The modern mandate is not just model deployment, but product delivery—owning the entire stack from database to browser.
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2025-09-03 · 6 min read
As a coder with more than 10 years in the trenches, I've seen countless technological waves crash onto the shore of development. Vibe Coding is undeniably powerful, a paradigm shift in productivity, but only if you know what you are doing.
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2025-02-19 · 5 min read
As a Data Science Lead, I've observed firsthand how Generative AI is poised to fundamentally reshape traditional engineering functions. The convergence of LLMs and low-code platforms is rapidly making many traditional DevOps practices obsolete.
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2025-07-05 · 5 min read
GenAI has demolished old assessment rules. How can we discern genuine expertise from well-prompted answers? The answer: behavioral questions rooted in real-world failure and success.
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2025-08-10 · 6 min read
LCNC platforms democratize application development, empowering stakeholders to solve 80% of simple problems, freeing the data science team to focus on the 20% requiring deep technical expertise.
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2025-09-15 · 4 min read
The rise of AutoML and GenAI is reshaping the definition of a data scientist. This is an opportunity to transform data scientists from technical implementers into strategic problem-solvers and ethical guardians.
Read MoreData Science Lead / Tech Lead
Leading a team of 2 Senior Data Scientists, 1 Data Engineer, 1 MLOps Engineer, and 2 Master Students. Managing end-to-end AI solutions with strong focus on team development and strategic planning.
Lead Data Scientist / Tech Lead
Building end-to-end AI solutions, from data collection to deployment and maintenance. Working with NLP, Vision, Audio frameworks, RAG Chatbots and LLMs (including finetuning).
Senior Data Scientist, Full Stack Developer
NLP models (Hate Speech Detection using X data), showing result in an Web application and Google extension. Building receipt evaluation system using OCR.
Data Scientist/ Assistant Teacher
Teaching AI and ML to students and colleagues. Building AI solutions for the University.
Master of Science in Data Science
Duisburg Essen University of Applied Sciences
Electrical/Electronic Engineering
University of Applied Sciences
Hours Worked
Project Finished
Happy Clients
Coffee Drinked
Automated trading system using Playwright for data extraction, web search with cron jobs, Claude/Codex for analysis, and sentiment/fear analysis for decision making.
Skills: Playwright, Web Scraping, Cron Jobs, Claude API, Codex, Sentiment Analysis, Fear & Greed Index, Trading Automation.
Browser extension to make daily work easier for colleagues by using the 'key/experienced user' knowledgebases.
Skills: N8N, Playwright, MCP Servers, RAG, Browser Extension.
Creating an agentic application via Power Platform (Copilot Studio and Power Platform).
Skills: Power Platform, Copilot Studio, Low Code Development.
Creating an agentic RAG chatbot using Django framework to extract meeting information and audio files and generate arguments for procurement negotiation with different user history and web search. Using vector DB (Milvus, Qdrant) with hybrid search.
Skills: RAG, Agentic Workflow, Vector DB, Hybrid Search, SEARXNG, Django.
Fine-tuned a Text to Image model for internal usage.
Skills: Fine Tuning, Large Language Models (LLM), Machine Learning, Python, TensorFlow/PyTorch.
Fine-tuned a Large Language Model (LLM) for specific tasks to improve performance and accuracy.
Skills: Fine Tuning, Large Language Models (LLM), Machine Learning, Python, TensorFlow/PyTorch.
Fine-tuned an Automatic Speech Recognition (ASR) model to enhance transcription accuracy.
Skills: Fine Tuning, Automatic Speech Recognition (ASR), Machine Learning, Python, TensorFlow/PyTorch.
Used Whisper ASR to create English translations for German videos at 5-second intervals.
Skills: Whisper ASR, Natural Language Processing (NLP), HTML, Large Language Models (LLM), VAD (Voice Activity Detection).
Developed a chatbot using multi-agent systems integrating real-time data and routing.
Skills: Large Language Models (LLM), LangChain, Langsmith, Google Cloud Platform (GCP), Vector Databases, Indexing, Multi-agent Systems.
Created a tool for generating short advertisement videos.
Key Features:
- Text parsing from URLs
- User interaction and voiceovers
- Image and clip matching with keywords using GPT-4 Vision and Turbo
- Image analysis and voice cloning
Skills: Computer Vision, Vision Embedding, GPT-4, Custom GPTs, Voice Cloning, Multi-Agent, LlamaIndex, LangChain, Langsmith.
Developed a system to identify the main character in videos and detect close-up shots and aesthetic scenes for thumbnails.
Skills: Computer Vision, Large Language Models (LLM), Face Detection, Actor Recognition, Face Clustering, Dimension Reduction, Aesthetic Ranking, Shot Type Detection, Google Cloud Platform (GCP).
Implemented silence detection to enhance shot/scene detection in videos.
Skills: FFmpeg, Large Language Models (LLM), Whisper ASR, Google Cloud Platform (GCP), Microsoft Azure.
Key features include internal data chat, multi-format data uploads, web search and summary, user feedback, and multi-agent function calling.
Skills: LlamaIndex, RAG, Mistral7B, OpenSource LLM, Streamlit, Generative AI, OpenAI API, Microsoft Azure, Google Cloud Platform (GCP), Document Chunking, K-Nearest Neighbors (KNN).
Detected black frames in videos and provided timestamps and black frame levels.
Skills: FFmpeg, Google Cloud Platform (GCP), Computer Vision.
Evaluated images for aesthetic quality using a CNN-based model and clustered similar frames.
Skills: Convolutional Neural Networks (CNN), Dimension Reduction, UMAP, HDBSCAN, Google Cloud Platform (GCP), K-Means Clustering, Computer Vision, Vision Embedding.
Detected faces in video frames and identified emotions, gender, and age for thumbnail classification.
Skills: Computer Vision, Convolutional Neural Networks (CNN), Google Cloud Platform (GCP).
Clustered audio/text/video datasets by topic in multiple languages.
Skills: BERT, Bertopic, Natural Language Processing (NLP), Hugging Face Hub, Sentence Embedding, Language Detection, Large Language Models (LLM), Python, KeyBERT, K-Means Clustering, Dimension Reduction.
Developed an AI-driven interview system showcased on RTL.
Skills: Text-to-Speech, ChatGPT, Generative AI, Speech-to-Text, Microsoft Azure, Microsoft Azure Machine Learning, Azure Functions.
Classified adult content in text/audio/video datasets using OCR.
Skills: Optical Character Recognition (OCR), Natural Language Processing (NLP), Hugging Face Hub, Language Detection, SpaCy, Sentence Similarity, Text Embedding, Regex, Whisper ASR.
Classified kids/juvenile content from text/audio/video datasets.
Skills: Optical Character Recognition (OCR), Automatic Speech Recognition, Text Embedding, Hugging Face Hub, SQL, Regex.
Detected festivities in Germany using audio and text datasets.
Skills: Regular Expressions, Sentence Embedding, Text Embedding, Hugging Face Hub, Sentence Similarity, Language Detection, SpaCy.
Identify languages in datasets for recommendation systems.
Skills: Natural Language Processing (NLP), Tokenization, Word Embeddings, Text Embedding, Hugging Face Hub, Poetry.
Extract keywords and phrases from text datasets.
Skills: KeyBERT, Natural Language Processing (NLP), Tokenization, SQL, Language Detection, Text Embedding, SpaCy.
Guide master students on NLP projects like Hate Speech and Sentiment Analysis.
Skills: Analytical Skills, Automatic Speech Recognition, Leadership, Team Leadership, Management, Educational Leadership, Organizational Leadership, Team Building, Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Human-in-the-Loop Machine Learning, Neuro-Linguistic Programming (NLP).
Predict churn for a manufacturing company using big data.
Skills: Analytical Skills, Azure Functions, Data Analysis, Data Science, Dimension Reduction, Flask, Git, Machine Learning, NLTK, Churn Prediction, Cluster Analysis.