Vineel Nagisetty
Research Engineer at RBC Borealis
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolVineel Nagisetty is a Machine Learning Engineering Team Lead with eight years of experience bridging academic research and industry-grade ML systems, currently leading a team at RBC Borealis. He holds an MASc from the University of Waterloo where he researched scalable verification of neural networks and applied explainable AI to improve GANs, and he has four publications (two as lead author) at top ML venues. Technically fluent in Python, PyTorch, TensorFlow, C++, and AWS, he has delivered end-to-end ML projects from data acquisition to deployment, including a land-use classifier prototype at C-CORE. Beyond engineering, he brings over five years of business management experience—having expanded a restaurant franchise by 60%—which informs his strengths in team leadership, operations, and cross-functional communication. An engineer comfortable in both research and product settings, he combines rigorous academic foundations with practical delivery and a knack for improving workflows and tooling.
8 years of coding experience
4 years of employment as a software developer
Computer Science (Specializing in Artificial Intelligence), Math Minor, 3.8/4.0, Computer Science (Specializing in Artificial Intelligence), Math Minor, 3.8/4.0 at Memorial University of NewfoundlandMaster of Applied Science, Electrical and Computer Engineering, 4.0, Master of Applied Science, Electrical and Computer Engineering, 4.0 at University of Waterloo
Github Skills (20)
nlp10
pytorch9
python9
machine-learning9
natural-language-processing9
deep-learning9
generative9
speech-recognition9
transformer9
language-model8
music8
bert8
tensorflow8
transformers8
jax7
Programming languages (2)
Github contributions (5)
vin-nag/GANs-n-reels
May 2018 - Sep 2019
Creating Irish Music using a Generative Adversarial Neural Network
Contributions:111 commits, 2 PRs, 61 pushes in 1 year 4 months
deep-learningadversarialirishmachine-learningneural-network
ml-logic-seminar/ml_logic_website
Jan 2021 - Jul 2022
Contributions:118 pushes in 1 year 6 months
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