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I am a data-driven problem solver with years of experience in AI, Data Engineering and Machine Learning. I have strong technical skills in Mathematics, Data Science, and Software Engineering. I'm driven by the desire to work in growth environment and committed to make a meaningful impact on the world through AI. I'm a team player with a strong "get-it-done" attitude and a passion for continuous learning.

Educational Foundation & Skill Development

  • Master’s degree in Data Science from the Technical University of Munich, preceded by a Bachelor’s in Mathematics.
  • Six years of diverse practical experience in Product Building at Pyne, Machine Learning at Genesis and Mergespot, Software Engineering at Microsoft and Tacto, and Research at Telecom Paris.
  • Deep interest in NLP, Speech Recognition, and Knowledge Graphs, with notable research under Prof. Thomas Bonald at Telecom Paris.

Professional Impact & Innovations

My latest and biggest impact on users comes from my work at pyne.ai. I have joined the team as a Founding Engineer. I contributed to the team with knowledge on how to build MVPs quickly, iterate ideas fast and keep the product at the centre of everything.

<p> <b>Product #1 - Building a Revenue operating system for B2B SaaS companies</b> </p>
<ul>
    <li> Developed data analytics platform for RevOps teams. </li>
    <li> Designed data model, built ETL pipeline and integrated with Hubspot, Salesforce and Chargebee. </li>
    <li> Created Insights system using ML and LLMs: GPT-4 with Vision + diagrams + tabular data = insights. </li>
    <li> Responsible for diverse functions: Data Management, Backend Development, Product & Hiring. </li>
</ul>

<p> <b>Product #2 - Guided product tours</b> </p>
<ul>
    <li> Co-Developed a browser-based extension that captures user interactions and voice, processes data using Speech Recognition and LLMs, and creates interactive product tours available as video, chatbot, or web page injection. </li>
    <li> Developed a ChatBot for marketing teams based on RAGs. </li>
    <li>  Designed quality evaluation and retraining pipeline for RAGs. </li>
</ul>

<p> It is also worth mentioning my work at Microsoft and contributions to the Azure Speech Service product. Due to my curiosity, I have worked in multiple teams. </p>
<p> <b>At the Research team</b> </p>
<ul>
    <li> I was responsible for training an Acoustic Diarist Identification system for the Swiss language. </li>
    <li> I learned how to use the Kalidi framework, as well as how to run distributed training on multiple GPUs. </li>
</ul>

<p> <b>At the Speech Recognition team</b></p>
<ul>
    <li> I developed a pipeline for automatic deployment, testing and updating of Speech Recognition models available in more than 70 locales worldwide and serving 100k people daily.  </li>
    <li> This pipeline reduced the deployment time of new models into production by a factor of 10. I integrated the project into a vast codebase requiring communication with more than 10 Product Owners. </li>
</ul>

<h3>Looking ahead</h3>
<p>My professional path is driven by a passion for continuous learning and a "get-it-done" attitude. As I continue to explore and contribute to the ever-evolving field of AI, my goal remains to harness technology to create meaningful and impactful solutions.</p>