Vlad Pandelea
Data Scientist
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolVlad Pandelea is a data scientist and final-year PhD candidate in Artificial Intelligence at Nanyang Technological University, specialising in NLP and sentiment analysis under Prof. Erik Cambria. With eight years of research and industry experience, he has worked on commonsense knowledge bases, human-robot collaborative AI, parameter-efficient LLM methods, and now applies these skills at American Express. His background blends top academic performance from the University of Pisa (110/110 cum laude) and international study in Sweden with hands-on machine learning research at NTU’s Continental-NTU Corp Lab. Vlad is fluent in translating cutting-edge research into practical solutions for dialogue systems and sentiment tasks, often focusing on efficiency and real-world deployment constraints. He brings a rare combination of deep theoretical training and production-oriented thinking, making him effective at bridging research and business needs. Colleagues find him both rigorous and curious, frequently exploring novel ways to inject commonsense reasoning into NLP models.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Linköpings universitetMaster's degree, Computer Science, 110/110 cum laude (full marks with honors), Master's degree, Computer Science, 110/110 cum laude (full marks with honors) at University of PisaDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Nanyang Technological University Singapore
English, Italian, Romanian, SwedishGithub contributions (4)
ppva/PyTorch-Recurrent-Point-Process
Jun 2019 - Jun 2019
Contributions:4 commits, 3 pushes in 1 day
ppva/AMUN-compression
Sep 2024 - Sep 2024
Contributions:1 branch in 5 days
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