Avnish Singh

I am an AI/ML researcher and engineer with a background in machine learning, cybersecurity, MLOps, and intelligent systems. I completed an M.Sc. in Computational Science and Applications (Data Science specialization) from Banaras Hindu University and worked as a Junior Research Fellow at the National Institute of Technology Raipur on a government-funded research project focused on AI-driven cyber threat detection and forensic analysis.

My experience includes developing machine learning and deep learning models, building end-to-end AI applications, designing data pipelines, and working with graph neural networks, anomaly detection, cybersecurity analytics, and large-scale data processing. I have also built LLM-powered applications using RAG architectures, vector databases, FastAPI, and modern AI frameworks.

I have authored peer-reviewed research publications in machine learning and cybersecurity, including work on EEG-based neurological disorder classification, advanced persistent threat detection, federated learning for Industrial IoT security, and edge intelligence.

My interests include artificial intelligence, machine learning engineering, agentic AI systems, cybersecurity, trustworthy AI, MLOps, and the development of scalable AI solutions that bridge research and real-world applications. I enjoy working on challenging problems at the intersection of AI, systems, and security while building practical technologies that deliver measurable impact.