Farhan Abid Ivan

- Collaborated with cross-functional teams to architect, containerize, and deploy LLM solutions, implementing NLP-driven bias detection and mitigating it by 7% across multiple model architectures

- Engineered Python pipelines for topic modeling with GPT-NeoX embeddings in an interdisciplinary team under doctoral supervision, automating checkpoint evaluation to improve model accuracy by 10%

- Supported event operations at Allianz Arena, Olympic Stadium, and Olympiahalle, coordinating logistics and on-site stakeholder communications

- Developed and maintained automated ETL pipelines in Python and SQL for web data crawling, annotation and validation, improving data accessibility and reducing manual errors by 30%

- Architected and applied ERP modules in C# and ASP.NET MVC, integrated RESTful APIs, led client data migration and reduced onboarding errors by 20% with SQL ETL scripts and followed Agile best practices

- Thesis: Scalable Python toolkit for deploying LLMs with LangChain, RAG, CUDA GPU programming and containerized Docker cloud pipelines to accelerate game-design workflows - Courses: Deep Learning, Natural Language Processing, Computer Vision, Design Patterns and more - Achievements: Ranked in the top 25% in all ML and NLP coursework and graduating with 2.3 final grade - Note: Deferred the initial three semesters due to COVID-related visa complications