Skills
Data Science
Deep Learning, Reinforcement Learning, Learning to Rank, Machine Learning physics, Computer Vision, generative models
Optimization
Bayesian optimization (Pyro.ai), HPO, Uncertainty Quantification
Physics & Quantum
Computational Fluid Dynamics, Quantum mechanics, Hamiltonian mechanics, Dynamical systems
High-level
Python/CUDA, numpy, TensorFlow/PyTorch, Java/Scala
Low-level
C/C++, MPI, multithreading
Front-end
Angular 2.x, JS / Typescript, HTML/CSS, Dataviz (D3.js, plotly)
Back-end
Node.js, nginx, SQL, RESTful APIs, protobuf, network
Engineering
Cloud (GCP), MLFlow, HPC clusters, containerization (Docker, Kubernetes)
Environment
Unix, DevOps, CI/CD tools, Agile methodology (Scrum and Kanban)
As a Data scientist, I am especially familiar with the python stack (Python 3.x, numpy, PyTorch / TensorFlow 2.x / Keras), docker containers and with the Google Cloud Platform. As a web developer, with Typescript, Angular 2.x and NestJS. For computationally-intensive applications or high QPS backends, I tend to choose C++ with an object-oriented memory management. I remain enthousiastic about testing new technologies, languages and frameworks to fit into my favorite stacks. I am mainly used to work with the agile methodology (Scrum and Kanban).
Online courses
Most of the courses were followed in audit mode (some include a valid certificate) on different platforms.
Data Science
· Machine Learning (Dr. Andrew Ng, Stanford, Coursera)
· Reinforcement Learning Explained (Microsoft, edX)
· Deep Learning with TensorFlow (MIT, edX)
· Reinforcement Learning Explained (Microsoft, edX)
· Deep Learning with TensorFlow (MIT, edX)
Computer Science
· Functional Programming Principles In Scala (Dr. Martin Odersky, EPFL, Coursera)
· Dynamic Programming: Applications In Machine Learning and Genomics (UC San Diego, edX)
· Cryptography I (Stanford, Coursera)
· High Performance Computing (GeorgiaTech, Udacity)
· Dynamic Programming: Applications In Machine Learning and Genomics (UC San Diego, edX)
· Cryptography I (Stanford, Coursera)
· High Performance Computing (GeorgiaTech, Udacity)
Physics & Quantum
· The Quantum Internet and Quantum Computers
· The Hardware of a Quantum Computer
· Architecture, Algorithms, and Protocols of a Quantum Computer and Quantum Internet (QuTech, TU Delft, edX)
· Statistical Mechanics: Algorithms and Computations (École normale supérieure, Coursera)
· The Hardware of a Quantum Computer
· Architecture, Algorithms, and Protocols of a Quantum Computer and Quantum Internet (QuTech, TU Delft, edX)
· Statistical Mechanics: Algorithms and Computations (École normale supérieure, Coursera)
Others
· The Power of Microeconomics …
· The Power of Macroeconomics: Economic Principles in the Real World (Dr. Peter Navarro, UC Irvine, Coursera)
· The Power of Macroeconomics: Economic Principles in the Real World (Dr. Peter Navarro, UC Irvine, Coursera)