SUBRAHMANYA RAJESH NAYAK — AI Researcher

Currently finishing my Master's in Big Data and AI at SRH Berlin (GPA 1.5). My thesis focuses on privacy-preserving personalisation using on-device AI and graph-based user modelling, graduating October 2026. Before that, I spent six months at NIT Karnataka building a CNN-LSTM hybrid model for intrusion detection on CAN bus time series data in automated vehicles, achieving over 96% detection accuracy on the OTIDS benchmark. Separately, I have two peer-reviewed publications: a deep learning system for cataract detection published at ICRASET 2024 (IEEE), and an audio classification paper presented at IACyC 2025. I am actively seeking a Working Student, Internship, or Master's Thesis position in Berlin or remote, starting immediately. Open to ML Engineering, Research Engineering, or AI Product roles where I can contribute to systems that matter. Skills: PyTorch • TensorFlow • LangChain • Hugging Face • Graph Neural Networks • RAG • MLflow • Airflow • Docker • FastAPI • Spark • Azure • AWS • Databricks • n8n

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Automotive and Web Development.

Location: Berlin, Germany

Experience: 0 mo