Vladimir Vargas
Algorithms Researcher, Machine Learning at D-Wave
Bogota, Colombia
Summary
👤
Senior🎓
Top SchoolVladimir Vargas is an algorithms researcher and machine learning engineer with eight years of experience applying ML to quantum physics, optimization, and socio-economic systems like tourism and real estate. He holds a PhD in Physical Sciences from Universidad Nacional de Colombia and blends theoretical physics with pragmatic engineering from roles at Zapata Computing and now D-Wave. His open-source contributions to well-known projects like NetKet and QuTiP show hands-on expertise in many-body quantum ML, custom graph implementations, and visualization improvements. At Human Brain Technologies he extends ML methods into interdisciplinary research, evidencing a talent for translating complex models into domain-relevant insights. Based in Bogotá, he pairs quantum computing know-how with practical data science and NLP skills, often working on non-obvious interfaces between physics models and real-world market or social-data generation.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, PHYSICAL SCIENCES, Doctor of Philosophy - PhD, PHYSICAL SCIENCES at Universidad Nacional de Colombia
Stackoverflow
1,794reputation
155kreached
10answers
78questions
Github Skills (20)
quantum-mechanics10
visualization10
python10
toolbox10
machine-learning10
networkx10
numpy10
visualizations10
jax8
deep-learning8
deeplearning-ai8
matplotlib8
jupyter-notebook6
audio6
wav6
Programming languages (7)
Github contributions (5)
netket/netket
May 2020 - Aug 2022
Machine learning algorithms for many-body quantum systems
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 reviews, 52 commits, 23 PRs in 2 years 3 months
Contributions summary:Vladimir primarily focused on implementing and refactoring graph structures and related functionalities within the Netket library. They added custom graph implementations, including `PyCustomGraph`, `PyHypercube`, and other graph types, and refactored graph-related modules. Further, they implemented support for non-orthogonal basis in the lattice class, updated the graph drawing feature, and fixed related bugs.
markov-chain-monte-carlovariational-monte-carlomonte-carlo-methodsquantum-computingvariational-method
qutip/qutip
Nov 2021 - Dec 2021
QuTiP: Quantum Toolbox in Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 reviews, 11 commits, 1 PR in 1 month
Contributions summary:Vladimir primarily focused on modifying the visualization module within the QuTiP quantum toolbox. Their contributions centered around improving the presentation of plots, addressing minor bugs related to titles, and improving the visual consistency of plots within the software. The changes included adding titles to various plots, fixing title display issues, and refining the overall visual presentation of data. They also made style corrections.
quantum-opticsquantum-toolboxphysicspythonquantum-mechanics
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