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  • Universität Paderborn
  • Germany
  • 20:46 (UTC +02:00)

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Akash-bu/README.md

Akash Umesh

M.Sc. Computer Science at Universität Paderborn,

Student Research Assistant at DICE research group

Email · Hugging Face


About

I work at the intersection of Knowledge Graphs and Large Language Models. My interests include fine-tuning language models, reasoning over structured knowledge, and making model decisions easier to understand.

Currently focused on:

  • Robust learning for knowledge graph embeddings
  • LLM fine-tuning and local model deployment
  • Explainable and responsible AI
  • Using open source LLMs for Entity linking and Link prediction.

Technical Focus

Python · PyTorch · PyTorch Geometric · Transformers · LLM Fine-tuning · HuggingFace

Current Direction

I am interested in research opportunities involving:

Knowledge Graphs · Graph Machine Learning · Explainable AI · LLM Reasoning · Responsible AI


Let’s build AI systems that do more than predict — systems that can explain.

Pinned Loading

  1. GenerativeAI GenerativeAI Public

    Jupyter Notebook

  2. llms_on_graphs llms_on_graphs Public

    Jupyter Notebook

  3. model_context_protocol model_context_protocol Public

    Python

  4. dice-embeddings dice-embeddings Public

    Forked from dice-group/dice-embeddings

    Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddings

    Python

  5. contrastive_explanations_dice contrastive_explanations_dice Public

    Java

  6. ask_about_person_deep_agent ask_about_person_deep_agent Public

    CSS