Jun 2025 – Present · 11 mos · Vienna, Austria

• Doing AI R&D and leading a team of Forward Deployed Engineers (FDEs)

Nov 2024 – Jun 2025 · 7 mos · Vienna, Austria

• Reshaping industry workflows by developing AI solutions and effective agentic systems.

Jul 2023 – Present · 2 yrs 10 mos · Vienna, Austria · Remote

• Helping industry experts and researchers to navigate the sheer endless sea of Large Language Model (LLM) research & innovation because everybody deserves to find the best information.

Mar 2023 – Aug 2023 · 5 mos · Remote

• I was part of a 6 month government-funded Entrepreneurship program that enabled me to work on my own projects and ideas within the LLM space.
• During this time, I gained experience in building LLM-powered backends with popular in-demand tools. The prototype I ended up building included the following:
• Fetching data from an external API & processing the response (Python)
• NoSQL database (MongoDB, Postgres)
• PDF Processing (PyPDF2, PyMuPDF)
• Document Extraction (Textract/Document Transformer)
• LLM Chain with multiple steps and prompt templates (Python, Guidance/LangChain)
• API endpoint for the processed data & the LLM outputs (FastAPI)
• Cloud Infrastruture (AWS)
• Since I operated on a minimal budget, efficiency and cost reduction were a priority for me. Specifically, I focused on optimizing tasks like PDF processing, document understanding, information extraction and summarization.

Nov 2020 – Feb 2023 · 2 yrs 3 mos

• During my time as a Senior at A1, I was the DS lead for the company's most advanced NLP projects.
• My work included
• Reporting results to several levels of management
• Representing cutting edge Deep Learning & NLP at the company
• Pitching these topics to the C-Level and other influential exexutives
• Giving expert talks & presentations
• Participating in workshops
• Taking part in the recruiting process for full-time Data Science internships
• Guiding selected interns and assigning them roles in my projects
• For a technical overview of my work, see below.

Jul 2019 – Feb 2023 · 3 yrs 7 mos

• I was in charge of a Social Media Listening project for Facebook, Twitter and Online Newspapers which included the following
• SQL & MongoDB databases
• Web scraper for the newspaper(s)
• Processing Facebook & Twitter API data
• Transfer Learning & Language Model Finetuning on in-domain texts
• Multiclass and Multilabel Text Classifiers based on Embeddings and Transformers (the original PyTorch implementation of BERT)
• Tableau Dashboard
• On top of that, I was developing intents & entities for customer text channels, including e-mail, web search, specialized chatbots (e.g., billing), the aforementioned Social Media data and several smaller Text & Sequence Classification projects.
• I then moved on to explore speech channels and became the person in charge of Speech-to-Text at the company, which included
• Processing short IVR audio recordings
• Processing long(er) call center recordings
• Labeling pipeline with custom Prodigy scripts
• Developing a subtitle matching algorithm for aligning audio with text & filtering out errorenous subtitles
• Developing Hybrid HMM-TDNN Speech Recognition models with Kaldi
• Switching to (back then freshly released) bleeding edge libraries & models for End-to-end Deep Learning, such as NVIDIA NeMo & Facebook FAIR
• Improving performance on Austrian dialects & in-domain recordings
• Adapting the in-house Classification models mentioned earlier for the text output of the speech channels
• In addition, I was able to work on PoCs in the areas of Document Extraction, Document Classification, Entity Extraction & Question Answering.

Oct 2018 – Jun 2019 · 8 mos · Wien

• Research in Cognitive & Economic Psychology:
• Dual process theory (Type I/II thinking)
• Metacognition theory
• Experimental assessment of cognitive biases
• Leveraging aggregated mouse cursor movement data

Mar 2017 – Mar 2019 · 2 yrs · Remote