Summary
Shailja Thakur is a research scientist with 11 years of experience at the intersection of machine learning, deep learning, and embedded/cyber-physical systems, currently at IBM after a postdoctoral stint at NYU. Her work spans explainability of deep models, large language models, and practical security applications such as power side-channel intrusion detection for automotive systems. She combines strong academic credentials—a PhD in Electrical and Computer Engineering from the University of Waterloo—with hands-on engineering from earlier software and data science roles that delivered production APIs and analytics pipelines. Skilled across SVMs, neural networks, TensorFlow, ensemble methods, PCA and time-series techniques, she also participates actively in MOOCs and data competitions to stay current. Colleagues would note her uncommon blend of systems-level thinking and model interpretability focus, enabling ML solutions that are both robust and transparent. Based in New York with roots in India, she brings cross-cultural collaboration experience and a track record of translating research into applied outcomes.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Waterloo
Manava harati School
Master's Degree, Computer Science, 8.25, Master's Degree, Computer Science, 8.25 at Indraprastha Institute of Information Technology, Delhi
Bachelor's Degree, Computer Science, 9.5, Bachelor's Degree, Computer Science, 9.5 at Guru Gobind Singh Indraprastha University
Maithili, Hindi, English