Summary
Pranshu Malviya is an AI research scientist and PhD student with a strong academic track record from MILA and IIT Madras, specializing in lifelong learning, causal inference, Bayesian networks, and deep learning. He combines rigorous research—supervised by leading academics—with applied industry experience, including work on time-series state extraction for semiconductor manufacturing and roles at DRW and Applied Materials. With a decade of experience spanning research internships, teaching assistantships, and freelance engineering, he bridges theory and practice, often translating Bayesian and deep-learning ideas into system-level optimization. Notably, his bachelor’s thesis advanced Hadoop parameter tuning by marrying Bayesian optimization with deep learning, reflecting a recurring theme of improving automated tuning and continual adaptation. Based in Montreal, he brings a collaborative lab-to-industry mindset and a knack for turning complex probabilistic models into practical solutions.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Computer Engineering, 4.0/4.0 at Mila - Quebec Artificial Intelligence Institute
Indian Institute of Technology Madras
All India Senior School Certificate Examination, CBSE, Mathematics and Computer Science, 88.4%, All India Senior School Certificate Examination, CBSE, Mathematics and Computer Science, 88.4% at Indore Public School, Indore
Bachelor of Technology (BTech), Computer Science, 8.15/10, Bachelor of Technology (BTech), Computer Science, 8.15/10 at International Institute of Information Technology Bhubaneswar, India
English, Hindi