– Communicated with 5+ company partners and product owners to understand the business vision and to recommend the optimal solutions, maintaining industry best practices. – Implemented a prototype of an autoencoder-based model for Brose’s AI initiative, optimized for detecting anomalies in e-bike sensor data, achieving an F1-score of 87.6%. – Automated repetitive processes and manual tasks in Service Cloud, which led to a substantial reduction in operation expenses ∼ of 2000 euros per user annually.– Handled data management workflows by importing millions of customer records from various sources into Salesforce while maintaining data integrity and consistency. – Created and analyzed complex datasets for e-bike parts and performed A/B testing to determine which versions of the product performed better.

University of Erlangen | May 2022 - Mar 2023

Research Assistant - AI/ML Researcher

– Implemented deep learning models in PyTorch for facial analysis tasks with multiple camera poses, achieving an accuracy of 94.6% in face recognition and an nRMS of 3.2% in landmark detection. – Built a robust ETL pipeline using Apache Spark to handle the large-scale dataset, incorporating data ingestion and validation. – Published and presented research findings at the prestigious ICCV 2023 conference.

Accenture | Oct 2018 - Nov 2021

Associate Software Engineer

– Built interactive KPI dashboards to provide real-time insights into customer quotes. – Skilled in database optimization and writing efficient SQL queries for large datasets. – Received an ACE award for creatively and effectively solving complex challenges in client delivery

Accenture | Jan 2021 - Oct 2021

Software Development Analyst

– Implemented data modeling using batch classes to efficiently update millions of products while maintaining data integrity and consistency. – Created and maintained strategic plans, technical documents, and disaster recovery plans in Confluences. – Implemented REST API for seamless integration of Salesforce with external systems, enhancing overall system performance. – Managed production deployment using Jenkins and Copado to handle CI/CD pipelines and version control systems in an agile environment.

My Education

Take a look at my formal education

Masters in Data Science in Machine learning and Artificial intellilgenceUniversity of Erlangen | 2025

About Me

AI and data-oriented professional with over 5 years of experience in cloud-based CRM analytics, aiming to deliver impactful business outcomes by integrating AI-based solutions into operational workflows.

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