Working Student – AI & Systems Engineer

Perinet GmbH | Cottbus, Germany

July 2024 - Present

• Architected end-to-end Graph RAG pipeline with Neo4j knowledge graphs, combining adaptive PDF chunking with entity-relationship modeling for context-aware document retrieval.
• Built hybrid retrieval system integrating ChromaDB vector search, cross-encoder reranking, and semantic caching (0.85 similarity threshold) to reduce latency and retrieval noise.
• Engineered prompt optimization workflows with quantitative evaluation metrics, leveraging RAGAS framework to benchmark faithfulness, relevancy, and context precision.
• Developed production-grade LLM evaluation pipelines measuring hallucination rates, response quality, and retrieval accuracy across multiple RAG configurations.

Master of Science in Artificial Intelligence

Brandenburg Technical University | Cottbus, Germany

2022 - Present

Key subjects: Machine Learning, Deep Learning, Data Mining, Information Retrieval, Explainable ML, Computer Vision.

Bachelor of Computer Applications

Mahatma Gandhi University | Kottayam, India

2018 - 2021

Key subjects: Data Structures, Database Management Systems, Design and Analysis of Algorithms, Software Engineering, Computer Networks.