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Kshitij Shetty

@kshitijshetty

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I build GenAI and backend systems for engineering tools and data platforms.

Germany

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What I'm looking for

I'm looking to build AI and backend systems where generative AI, knowledge graphs, semantic retrieval, and engineering tooling solve practical workflow problems.

At Fraunhofer, I deliver GenAI and backend solutions for engineering teams, from semantic search over vector databases to AI-assisted plugins for Capella, Codebeamer, and Polarion.

I built NexusAI, a web platform that routes queries across six MBSE tools and databases from one interface. I also automated requirement-artifact retrieval and synthetic data generation for Model-Based Systems Engineering experiments.

At Paderborn University, I researched large language models and knowledge graphs, contributed to LOLA, a multilingual LLM covering 160+ languages, and co-authored its COLING 2025 publication. My master's thesis developed a neural retriever for Wikidata question answering that reduced candidate graphs to 200–500 relevant triples per query while reaching 84% answer recall.

Earlier, I built backend services and offline synchronisation for Citoto's Flutter social network and analysed electoral data for campaign targeting. I work across Python, PyTorch, RAG, graph neural networks, REST APIs, and vector databases.

Experience

Work history, roles, and key accomplishments

Student Developer

Fraunhofer Institute

Apr 2025 - May 2026 (1 year 1 month)

Delivered software and AI solutions for the GenAI Incubator initiative, including backend services, AI pipelines, and engineering-tool integrations. Engineered backend services synchronizing Codebeamer with a search engine platform and vector database, and built AI-assisted plugins for Capella, Codebeamer, and Polarion.

Python REST APIs Vector Databases MBSE AI Pipelines Semantic Search CodeBeamer Capella Polarion

Student Researcher

DICE, Paderborn University

Feb 2023 - Dec 2024 (1 year 10 months)

Conducted and documented research on large language models and knowledge graphs, driving experimentation, evaluation, and publication output. Produced structured annotations and generated SPARQL queries using LangChain and LLaMA models via Ollama.

Python LLM Mixture Of Experts Shell Git Lang Chain Ollama SPARQL Knowledge Graphs

Backend Developer

Citoto

Feb 2020 - Apr 2021 (1 year 2 months)

Developed backend services for a Flutter-based social networking mobile application. Built instant messaging and integrated maps services, and engineered online-offline database synchronization using Cloud Firestore.

Dart Flutter Cloud Firestore Android Studio Git Backend Development Instant Messaging Maps Integration

Machine Learning Intern

Aam Aadmi Party

Jun 2019 - Sep 2019 (3 months)

Analyzed 28 years of electoral data across 15 constituencies to identify voting trends. Extracted and visualized results, surfacing voting-behavior patterns used to guide campaign targeting.

Data Analysis Data Visualization Electoral Data Python