Eliseu Venites Filho

Computational Statistical Physics Data Science Systems Engineering

[email protected]
resume.pdf

Skills

Languages: Portuguese Native English Fluent French Advanced
Programming: C C++ C++17 boost Rust tokio rayon faer Python Pandas NumPy SciPy scikit-learn matplotlib PyTorch TensorFlow Julia DataFrames.jl Plots.jl Makie.jl Haskell megaparsec Delphi

Programming

C

B.Sc. in Engineering Physics

C++ C++17, boost

M.Sc. in Computational Statistical Physics tsp-sa

Rust tokio, rayon, faer

Ph.D. in Computational Statistical Physics artificial-systems sternhalma-server Conway's Game of Life Simulated Annealing for the TSP 2D Ising Model Contact Process Spectral Signatures of Criticality Chiarella Model

Python Pandas, NumPy, SciPy, scikit-learn, matplotlib, PyTorch, TensorFlow

M.Sc. in Computational Statistical Physics tsp-sa sternhalma-agent

Julia DataFrames.jl, Plots.jl, Makie.jl

Ph.D. in Computational Statistical Physics ts-cov-matrix

Haskell megaparsec

json-parser

Delphi

Software Engineer
Tools: Databases SQLite PostgreSQL DuckDB Docker Nix

Tools

Databases SQLite, PostgreSQL, DuckDB

Docker

Nix

Experience

Software Engineer

[Feb. 2026 - Present]
Nelogica Porto Alegre, Brazil
  • Engineer low-latency, high-performance backend microservices in Delphi as part of the Automation Tools team, serving thousands of daily active users
  • Sustain high availability on mission-critical legacy systems through proactive maintenance and infrastructure hardening
  • Reduce manual processing time by automating workflows and building custom internal tools that scale operations across teams
  • Deploy and operate services across AWS, Azure, and Equinix infrastructure, using GitLab CI pipelines within an Agile/Scrum team workflow
Delphi

Ph.D. in Computational Statistical Physics

[Jul. 2021 - Feb. 2026]
Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil
  • Doctoral research funded by a CNPq scholarship
  • Analysis of the ensemble correlations of observables of complex systems in order to predict their critical behavior
  • Systems from different Universality Classes considered
  • Both systems with and without a defined Hamiltonian considered
  • The simulations were implemented in Rust while the data analysis was done in the Julia ecosystem
artificial-systems ts-cov-matrix Symmetry 2025 International Journal of Modern Physics C 2025 Entropy 2024 Brazilian Journal of Physics 2023 2D Ising Model Contact Process Spectral Signatures of Criticality Rust Julia

M.Sc. in Computational Statistical Physics

[Mar. 2019 - May 2021]
Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil
  • Master's research funded by a CNPq scholarship
  • Scored higher than 99.42% of candidates on the EUF 2-2018 (National graduate programs entrance exam)
  • Performance evaluation of the Simulated Annealing applied to different configurations of the Traveling Salesman Problem
  • Analysis of the stochastic optimization algorithm applied to problems at the boundary between P and NP complexity classes
  • The optimization algorithm was implemented in C++ while the data analysis was done in the Python ecosystem
tsp-sa Physica A 2021 Simulated Annealing for the TSP C++ Python

Optical Engineering Internship

[Jun. 2017 - Sep. 2017]
Télécom ParisTech Paris, France
  • Improved photon-pair coincidence count rate by engineering active stabilization of a polarization-entangled photon-pair source
  • Enabled reliable Quantum Key Distribution (QKD) protocol testing by optimizing signal count rates within the Information Quantique et Applications research group

Undergraduate Research (Scientific Initiation)

[Jun. 2013 - Jun. 2015]
Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil
  • Conducted CAPES-funded undergraduate research in Quantum Information
  • Gave presentations on quantum algorithms such as Shor's and Grover's

Education

Diplôme d'Ingénieur

[Sep. 2015 - Sep. 2017]
Institut d'Optique Graduate School Palaiseau, France
  • Double degree in the context of BRAFITEC program
  • Optical Instrumentation, Automation, Lasers and Quantum Optics

L3 et M1 en Physique Fondamentale

[Sep. 2015 - Sep. 2017]
Université Paris-Saclay Orsay, France
  • Double degree in Theoretical Physics offered to engineering students
  • Analytical Mechanics, Statistical Physics, Plasma Physics and Atomic and Molecular Physics

B.Sc. in Engineering Physics

[Mar. 2013 - Dec. 2018]
Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil
  • Graduated Summa Cum Laude with a final GPA of 9.54/10.0
  • Solid State Physics, Electronics, Microprocessors, Photonics and Material Analysis
C

Projects

tsp-sa C++ | Python

  • Built a modular C++ optimization library implementing Simulated Annealing for the M.Sc. research
  • Supports Generalized Simulated Annealing and Tsallis Entropy statistics
  • Decoupled the optimization core from the TSP implementation, enabling reuse across arbitrary Markov chain problems
  • Automated data analysis and plotting in Python to accelerate research iteration
M.Sc. in Computational Statistical Physics Physica A 2021 Simulated Annealing for the TSP C++ Python

artificial-systems Rust (ndarray, serde)

  • Implemented high-performance Rust simulations of computational models for the Ph.D. research
  • Modeled Spin Systems (Ising and Blume-Capel models) at scale
  • Investigated the Contact Process with diffusion
Ph.D. in Computational Statistical Physics Conway's Game of Life 2D Ising Model Contact Process Spectral Signatures of Criticality Rust

ts-cov-matrix Julia (DataFrames.jl, Makie.jl)

  • Applied Random Matrix Theory to analyze time-series covariance matrices for the Ph.D. research
  • Compared spectral properties against the Marchenko-Pastur distribution across NOAA temperature records, Spin Systems, and Contact Processes
  • Built a full data analysis pipeline in the Julia ecosystem (DataFrames.jl, Makie.jl)
Ph.D. in Computational Statistical Physics Spectral Signatures of Criticality Julia

json-parser Haskell

  • Strict JSON parser implemented in Haskell using Megaparsec
  • Adheres closely to JSON standards
  • Can be used as a library or a standalone command-line tool
Haskell

sternhalma-server Rust (tokio)

  • Asynchronous game server for Sternhalma (Chinese Checkers) built with Rust and Tokio
  • Actor-like architecture with decoupled game logic and connection handling
  • Client-agnostic design supporting CLI, GUI, and AI agents
  • Supports both Raw TCP and WebSocket connections using a CBOR-based protocol
Rust

sternhalma-agent (WIP) Python (PyTorch)

  • Reinforcement learning agent implementing AlphaZero from scratch
  • Uses Monte Carlo Tree Search (MCTS) for planning and Deep Neural Networks (ResNet) for evaluation
  • Designed to master Sternhalma through self-play without human knowledge
Python

Publications

Efficient computational method using random matrices describing critical thermodynamics

[2025]
R. da Silva, E. Venites Filho, S. D. Prado, J. R. Drugowich de Felício
International Journal of Modern Physics C
Ph.D. in Computational Statistical Physics Spectral Signatures of Criticality

Mean-Field Criticality Explained by Random Matrices Theory

[2023]
R. da Silva, H. C. M. Fernandes, E. Venites Filho, S. D. Prado, J. R. Drugowich de Felício
Brazilian Journal of Physics
Ph.D. in Computational Statistical Physics