cv.yaml

name: "Auguste Baum"
label: "MSc graduate from EPFL: ML, InfoSec, Software engineering"
image: "assets/noir2-lowqual.jpg"
email: "auguste.baum@pm.me"
phone: "+33 6 42 89 41 43"
url: "augustebaum.github.io"
github: "augustebaum"
linkedin: "auguste-baum"
work:
  - date: Dec.~2023---Now
    role: |
      Full-stack developer
    place: |
      #link("https://resilio-solutions.com/")[Resilio], Paris (remote)
    description: |
      - Investigated performance issues in Resilio's infrastructure, improving request-response time by a factor of 2.
      - Improved Resilio's testing infrastructure, cutting backend test time by  a factor of 15.
  - date: July~2023---Nov.~2023
    role: |
      Participant in #link("https://discourse.nixos.org/t/summer-of-nix-2023/27067")[Summer of Nix 2023]
    place: |
      #link("https://opencollective.com/nixos")[NixOS Foundation], Paris (remote)
    description: |
      - Developed #link("https://nixos.org/")[Nix] package and module for open-source projects, of which #link("https://github.com/ngi-nix/ngipkgs/issues/2")[Pretalx] and #link("https://github.com/ngi-nix/ngipkgs/issues/6")[Rosenpass].
      - Discovered #link("https://www.remotemobprogramming.org/")[mob programming], a low-latency work technique enabling fast skill improvement.
  - date: Sept.~2022---March~2023
    role: AI research intern
    place: |
      #link("https://research.swisscom.ai/")[Swisscom Digital Lab], Lausanne
    description: |
      - Conducted research project on explainability of AI for big-data tabular datasets.
      - Developed reproducible research pipeline using #link("https://pytask-dev.readthedocs.io/")[`pytask`].
  - date: 2021---2022
    role: Co-founder & CTO
    place: |
      #link("https://resilio-solutions.com/")[Resilio], Lausanne
    description: |
      Built the backend of #link("https://resilio-solutions.com/services/tech/")[Resilio Tech], an LCA tool for digital sobriety consultancy, in Django.
  - date: 2020---2021
    role: |
      #link("https://theshiftproject.org/en/article/lean-ict-our-new-report/")[Digital Sobriety] consultant
    place: Zero Emission Group, EPFL, Lausanne
    description: |
      - Developed automatic PowerPoint pipeline in Python, speeding up the auditing process by 30%.
      - Co-authored reports on environmental impact of digital technology in multinational companies.
education:
  - date: 2020---2023
    role: MSc Data Science
    place: EPFL, Lausanne
    description: |
      ML, information security and big data methods. MSc thesis on Explainable AI.
  - date: 2017---2020
    role: BSc Mathematics & Statistics and Physical Chemistry
    place: UCL, London
    description: |
      First class Honours. Dissertation on Machine Learning for chemical property prediction.
  - date: 2016---2017
    role: |
      #link("https://en.wikipedia.org/wiki/Classe_pr%C3%A9paratoire_aux_grandes_%C3%A9coles")[Classe préparatoire]
    place: Lycée Saint-Louis, Paris
    description: |
      Admitted in PC#super[\*]. Foundations of Physics, Chemistry, Mathematics and Computer science.
projects:
  - date: 2022---2023
    role: |
      MSc project: "Path regularization for continuous counterfactual explanations"
    place: Swisscom & EPFL, Lausanne
    description: |
      Developed an AI regularization technique to produce high-quality explanations of neural network predictions. Supervised by #link("https://www.epfl.ch/labs/lts4/people/people-current/frossard/")[Prof.~Pascal Frossard] and #link("https://www.researchgate.net/profile/Daniel-Dobos-2")[Dr~Daniel Dobos].
  - date: "2022"
    role: |
      Semester project: "D-voting"
    place: DEDIS lab, EPFL, Lausanne
    description: |
      Contributed to #link("https://github.com/dedis/d-voting")[d-voting], a blockchain-based electronic voting system.
  - date: "2021"
    role: |
      Machine learning project: #link("https://github.com/CS-433/cs-433-project-2-vortexnco")["Automatic detection of available area for rooftop solar panel installations"]
    place: EPFL, Lausanne
    description: |
      Built a neural network model to detect the empty space on rooftops in satellite images.
  - date: "2020"
    role: |
      BSc project: "Machine Learning methods for Property Prediction"
    place: UCL, London
    description: |
      Reviewed recent approaches to chemical property prediction with machine learning.
skills:
  - name: Functional programming
    level: Know the basics
    keywords: ["Haskell", "Scala"]
  - name: Object-oriented programming
    keywords: ["Python", "Java"]
  - name: ML / Data
    keywords: ["PyTorch"]
  - name: Big data
    keywords: ["Spark"]
  - name: Software development
    keywords: ["Nix", "Docker", "Git", "Vim", "Rust", "Go"]
  - name: Scientific computing
    keywords: ["Matlab", "Mathematica", "Sage"]
  - name: Web development
    keywords: ["HTML", "CSS", "Django", "React"]
  # - name: Miscellaneous
  #   keywords: ["Vim", "Rust", "Go"]
languages:
  - language: English
    fluency: native
  - language: French
    fluency: native
  - language: Spanish
    fluency: B2
  - language: Japanese
    fluency: basic