- Lead prompt engineering efforts to improve LLM output performance & consistency- integration of LLM components into the web app (ReactJS)- conducted market analysis, as well as domain and user research

- launched 5 bootstrapped projects to bring exceptional value to niche audiences by - embedding ourselves in a market of personal interest & establishing expertise - find & interview potential early-adopters about their problems in their niche - derive initial project ideas & conduct market research to assess viability - re-iterate with early adopters & build MVP according to their specs - launch on ProductHunt

- Architected and implemented an continuous training pipeline using Azure + Python services, GitLab CI, and Terraform, reducing time-to-market by 50-60% while complying with GDPR requirements for data privacy- Switched model serving architecture from one service per-model consuming queues to model endpoints (MLflow, Azure Machine Learning, KServe)- Accelerated deployment times by 5x through migration to GitLab CI and standardization of project templates and workflows (SOPs)- Optimized ML services on Kubernetes, enforcing best practices and automating processes, as well as reducing technical debt- Implemented data processing pipelines (streaming, parallel processing), connecting various systems across VPCs (Azure Functions, cron jobs on AKS, MongoDB, Azure Blob Store)- Cost monitoring, management & optimization of AI & ML related cloud resources - Led cross-functional teams, improving efficiency through streamlined communication and documentation- designed an MLOps on-boarding curiculum to seamlessly integrate new-hires into the team and business- Spearheaded marketing strategies and community activations to expand brand recognition

- Worked with e-commerce and health care clients on implementing and improving ML solutions, especially operationalizing ML PoCs, direct reporting to upper management via presentations and periodic updates, attain alignment across multiple stakeholders (internal & external) - conducting workshops to align teams of several business units to work together, reduce overhead, identify ML-opportunities, and become more data-driven - internal board member for the Python community

- developed a UI-based Python package for internal use to semi-automate analytical workflows (project lead)- build recommendation engine to predict optimal ad spend (project lead)- extend & maintain ML features for the web application- building & maintaining ETL pipelines- mentor to working student

- software development (Python + SQL, Git + Jenkins)- data processing (HDFS, MySQL, APIs, ...)- building statistical models- building presentations & dashboards- communication with multiple stakeholders- project ownership

Data cleaning, presentations, SQL queries, reports

At the start-up Kaffeelabs I worked on the app CashCarTrivia. I monitored social media campaigns and consulted on optimizing their performance.

I consulted the non-profit “Respekt für Griechenland” regarding a crowdfunding project to raise money for refugees. To develop a communication strategy I used the gathered knowledge and analysis from my seminar paper about crowdfunding projects, as well as my experience in managing social media presences.