Karan Anchan

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Master's Student in Computer Science specializing in Artificial Intelligence, Generative AI, and Data Science.

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Karan Anchan

Karan Anchan

Master's Student in CS (Artificial Intelligence)
📍 Freiburg im Breisgau, Germany

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👋 About Me

I am a specialized AI Researcher & Engineer currently pursuing my Master's at the University of Freiburg. My focus lies at the intersection of Generative AI, Computer Vision, and NLP. I engineer end-to-end pipelines that solve real-world problems—from medical image segmentation to semantic translation systems.

🚀 Featured Projects

🏥 UNETR: 3D Abdomen Segmentation

Stack: PyTorch MONAI Vision Transformers

I architected a volumetric segmentation pipeline using the UNETR (Vision Transformer) architecture to identify 13 distinct abdominal organs. This project solves the challenge of capturing global context dependencies in medical imaging.

UNETR Architecture
Fig 1: The UNETR Architecture implementing Transformer Encoders for volumetric data.

Key Achievements:

  • 🏆 0.8027 Mean Dice Score achieved on the BTCV dataset.
  • Preprocessing: Engineered robust HU windowing and isometric resampling to normalize soft-tissue density.
Segmentation Visualization
Fig 2: Actual model output showing precise segmentation of internal organs.

View Project on GitHub

🗣️ Neural Machine Translation (Eng-Hi)

Stack: PyTorch Transformers Altair

A complete implementation of the Transformer architecture ("Attention Is All You Need") built from scratch. This model handles complex transliterations and formal grammar with high accuracy.

Performance Metrics:

  • 📈 SacreBLEU: 62.48
  • 📉 Character Error Rate (CER): 0.28 (28%)
  • 🤖 CHRF++: 71.78
Training Metrics
Fig 3: Training progression showing correlation between SacreBLEU scores and error reduction.

View Project on GitHub

💼 Professional Experience

Machine Learning Intern | Wizdom Ed

Mangalore, India | Oct 2023 – Apr 2024

Engineered a Retrieval-Augmented Generation (RAG) pipeline using LangChain to relate LLM responses to curriculum data.

  • 🚀 35% increase in student engagement via optimized data ingestion.
  • 30% boost in positive response rates by implementing retrieval quality feedback loops.

🎓 Education

M.Sc. Computer Science (AI)
Albert Ludwig University of Freiburg
Apr 2025 – Present
Grade: 2.5 (Gut)
B.E. Computer Science
N.M.A.M Institute of Technology
Sep 2020 – Aug 2024
CGPA: 9.33/10


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