cv
Basics
| Name | Varun Venkatesh |
| varun.venkatesh@campus.lmu.de |
Work
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May 2026 - Present Studentische Hilfskraft
Ludwig-Maximilians-Universität München
Chair of Statistical Learning and Data Science with Dr. Giuseppe Casalicchio
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Dec 2024 - Present Working Student Data Science and Engineering for Generative AI
Data Analytics and AI Lab Team, Inverso GmbH
AI solutions for insurance claims automation, LegalNLP evaluation, and liability representation.
- Evaluated LegalNLP limitations and benchmarked LLMs to improve claims adjustment workflows.
- Engineered a privacy-safe dataset and validation framework for insurance-domain LLM evaluation.
- Architected a proprietary claims ontology to automate liability representation.
- Co-advised a Master's thesis on causal representation, aligning research with strategic AI goals.
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Jun 2023 - Feb 2024 Research Intern
Machine Learning Theory Lab, Indian Institute of Technology Madras
Use traditional signal processing methods to design explainable and interpretable audio denoising neural networks.
Education
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Oct 2024 - Present Munich, Germany
Master of Science (M.Sc)
Ludwig-Maximilians-Universität München
Statistics and Data Science
Completed courses- Optimization
- Supervised Learning
- Interpretable ML
- Deep Learning
- Preference Learning & Ranking
- Entropy & Information Theory
Seminars- Uncertainty Estimation for Deep Learning
- Explaining Black-Box Predictions: A Game-Theoretic Approach to Reliable Model Interpretability
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Jan 2021 - May 2024 Chennai, India
Bachelor of Science (B.S.)
Indian Institute of Technology Madras
Data Science and Applications
Honors- Certificate of Merit for Academic Excellence and Bronze Medal
Completed courses- Machine Learning, Reinforcement Learning, Deep Learning, Large Language Models, Advanced Algorithms, Statistical Computing
Certificates
| ACM Summer School on Responsible and Safe AI | ||
| ACM India | 2024 |
Languages
| English | |
| Proficient (C1) |
| German | |
| Independent (B1/B2) |
| Dutch | |
| Basic (A2) |
References
| Dr. Mina Rezaei | |
| Group Leader (Probabilistic Machine and Deep Learning & Methods Beyond Supervised Learning) |
| Dr. Johann Hagerer | |
| Supervisor @ TU Munich; AI Architect @ Inverso (i-DNA Lab Team) |
| Dr. Matthias Aßenmacher | |
| Group Leader (Natural Language Processing) |
| Dr. Chandrashekar Lakshminarayanan | |
| Professor & Principal Investigator @ Machine Learning Theory (MALT) Lab, IIT Madras |