Aleksej Markovic

• Spearheaded the development of multi-agent teams to enhance operational efficiency. • Educated employees on utilizing advanced AI tools, fostering a culture of innovation. • Streamlined administrative processes, significantly boosting productivity across departments. • Contributed to WARSCHER's growth by enabling scalability without increasing headcount.

• Acquired new customers by consulting potential leads on marketing strategies. • Provided expert advice on SEO, website development, and social media content creation. • Guided clients in identifying essential steps to elevate their businesses. • Contributed to the growth of Warscher - Digital Experts, a dynamic company in the digital marketing space.

Working closely with high-profile clients and global artists, including A$AP Rocky, Ken Carson, Guram Gvasalia, J Balvin, and Playboi Carti, to develop unique visual identities and performance-ready looks. Responsible for styling, creative direction, and custom garment design for concerts, campaigns, and special projects. Specialized in translating artistic vision into high-impact fashion pieces and delivering elevated, innovative solutions under tight timelines.

Als Gründer und Geschäftsführer der Happy Dog Spa GmbH leite ich ein engagiertes Team von bis zu fünf Mitarbeitenden, das sich mit Leidenschaft dafür einsetzt, jedem Vierbeiner nicht nur Schönheit, sondern auch Wohlbefinden und Sauberkeit zu schenken. Ich bin verantwortlich für die administrativen Abläufe, die Organisation des täglichen Betriebs sowie die Sicherstellung unserer hohen Qualitätsstandards und Kundenzufriedenheit.

Trained and fine-tuned AI models to improve decision-making accuracy and contextual understanding across various use cases • Reviewed and evaluated model outputs to detect and correct hallucinations, inconsistencies, and factual errors • Developed and applied quality guidelines to ensure reliable, safe, and high-quality AI responses • Performed prompt engineering and iterative testing to optimize model performance and output relevance • Annotated and curated datasets to enhance model learning and alignment with desired behaviors • Collaborated with cross-functional teams to refine training processes and improve overall system performance • Conducted continuous evaluation cycles, providing structured feedback to improve model robustness and reliability