Summary
Vinayakumar Ravi is an Assistant Research Professor and data scientist with a decade of experience applying machine learning, deep learning and big-data techniques to domains ranging from cybersecurity and biomedical imaging to NLP and educational analytics. He designs and implements novel algorithms for large-scale, high-dimensional, noisy datasets and has hands-on experience across the ML stack—from C/C++ and Python to TensorFlow, Spark and Cassandra. His work spans research and product-focused development: building cloud-based educational apps, web crawlers and scalable preprocessing pipelines, as well as practical systems for botnet/malware detection, intrusion analysis and medical data mining. Trained through a PhD in data science and machine learning coursework at UCL, he blends academic rigor with production engineering, often reusing the same toolchains to move prototypes to real deployments. A persistent tinkerer, he maintains an active GitHub portfolio and personal site that showcase reproducible experiments and applied research beyond typical publications.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Data Science practitioner, Doctor of Philosophy (PhD), Data Science practitioner at Amrita Vishwa Vidyapeetham, Coimbatore
BCA, Computer Science, BCA, Computer Science at JSS College Of Arts And Commerce - India
Master of Computer Applications (MCA), Computer Science, Master of Computer Applications (MCA), Computer Science at Amrita school of arts and sciences
University College London
English, Kannada, Tamil