PhD Candidate · Hochschule München, Munich
Advancing Knowledge Discovery through Artificial Intelligence
AI Researcher · Information Retrieval Specialist · Patent Intelligence Expert · Builder of Domain-Specific AI Systems
I design intelligent systems that help organizations discover, retrieve, understand, and act on knowledge hidden inside patents, scientific literature, and large technical document collections — combining information retrieval, natural language processing, large language models, and explainable AI.
- 12
- Peer-reviewed publications
- 7+
- Years researching AI & NLP
- 2
- Countries — Germany & India
- 2026
- Expected PhD completion
Research Focus
Six pillars, one goal: turning unstructured knowledge into actionable insight
Patents are my proving ground — one of the densest, highest-stakes document collections in the world. The methods I build there extend naturally to scientific literature, legal documents, and enterprise knowledge bases.
IR · RANKING
Information Retrieval & Patent Search
Designing retrieval and ranking models that connect a search query to the most relevant prior art across millions of patent documents.
LLM · EVALUATION
LLMs for Prior-Art Search
Benchmarking large language models such as GPT and Gemini for prior-art search, and building evaluation frameworks for domain-specific retrieval tasks.
EXPLAINABLE AI
Explainable Search & Classification
Making AI-driven search and classification systems interpretable — highlighting the evidence behind every result for examiners and analysts.
EMBEDDINGS
Domain-Specific Language Models
Fine-tuning and quantizing transformer embeddings, including BERT-for-Patents, for efficient, domain-adapted retrieval.
TOPIC MODELS
Knowledge Discovery
Mapping large technical collections — from health-informatics patents to engineering literature — to surface emerging themes and structure.
TEXT MINING
Patent Analytics
Applying sentiment analysis, summarization, and text-mining techniques to extract structured insight from unstructured patent text.
Recognition
Achievements & milestones
2024 · EPO CodeFest
Finalist, EPO CodeFest 2024
Received a finalist certificate from the European Patent Office at CodeFest 2024, presented at the Patent Knowledge Forum.
2024 · HINT'24, MIT Manipal
Best Paper Award
Awarded Best Paper at the HINT'24 conference, held at MIT, Manipal, India, for research on patent information retrieval.
2024 · ESWC, Greece
Paper Presentation, SemTech4STLD
Presented “ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports” at the SemTech4STLD workshop, ESWC 2024.
2023 · SIGIR, Taipei
Workshop Paper, PatentSemTech 2023
Presented a workshop paper at PatentSemTech 2023, part of SIGIR 2023 in Taipei, Taiwan — a rare and rewarding crowd to be part of.
2022 · MLNLP
Best Presenter Award
Recognized for the best presentation at MLNLP 2022, for research on domain-specific pre-trained language models for patent classification, published by ACM.
2019 · University of Passau
M.Sc. Graduation
A moment from the graduation ceremony at the University of Passau, completing an M.Sc. in Computer Science.
2019 · Google, Munich
Invited Talk at Google
Invited to present a fake-news detection prototype, developed at the Digital Product School, at a Google event in Munich.
2018 · IBM Watson, Munich
Project Presentation at IBM Watson
Presenting with team WilderKaiser from the Digital Product School (UnternehmerTUM) at IBM Watson, Munich.
2016 · IEEE, KIIT University
Conference Paper Presentation
Presented research from the Robert Bosch Research and Technology Centre, Bangalore, at an IEEE conference hosted by KIIT University, Bhubaneswar.
Selected Publications
Recent work on patent retrieval & LLM evaluation
World Patent Information · Elsevier, 2025
Rethinking Patent Retrieval with Language Models: Toward Scalable and Efficient Search
ICAAI (ACM), 2025
Patent Retrieval with Few-Shot Fine-Tuning and Quantized Embeddings
PatentSemTech @ SIGIR, 2025
Enhancing Patent Retrieval Using Automated Patent Summarization
Interested in collaborating on AI-driven retrieval or patent intelligence?
Open to research partnerships, industry projects, and Indo-German initiatives in AI, NLP, and information retrieval.