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Technical University of Munich
Data Scientist
June 18, 2026 – Present
smol-llm
January 27, 2026 – Present
An experimental implementation of a Autoregressive Model
View ProjectdriveLM-RAG
August 9, 2025 – August 18, 2025
A multimodal question-answering system for the DriveLM autonomous driving dataset, featuring data parsing, visualization, RAG-based pipeline with LLM/VLM integration, and performance evaluation.
View Projectmcp_client_server
June 15, 2025 – June 15, 2025
A simple MCP Client Server implementation
View Projectlanding_page_generator
May 7, 2025 – May 27, 2025
landing_page_generator — GitHub repository
View Projectlexclipr-link_prediction
April 12, 2025 – April 16, 2025
A heterogeneous link prediction based solution for the LexCLiPR dataset
View Projectcadec_src
April 5, 2025 – April 9, 2025
Agentic Based Adverse Drug Event Extraction system
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong self-driven learning and exploration mindset. However, the lack of team-based or industry projects makes it difficult to assess collaboration and adaptability in a professional team setting. The current role as 'Data Scientist' at a university, starting in the future, suggests an academic background which may align with research-heavy roles but needs validation for industry-specific cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.