Eliseu Venites Filho

Computational Statistical Physics Data Science Machine Learning Systems Engineering

eliseuv@pm.me GitHub LinkedIn ORCID ResearchGate

:: SKILLS

Languages: Portuguese (Native), English (Fluent), French (Advanced)

Programming: C, C++, Rust, Python, Julia, Haskell, Delphi

Libraries: tokio, ndarray, serde, faer-rs, Pandas, NumPy, SciPy, scikit-learn, matplotlib, PyTorch, TensorFlow, DataFrames.jl, Plots.jl, Makie.jl

Tools: Linux, Git, Docker, SQL

Typesetting: LaTeX, Typst

:: EXPERIENCE

Software Engineer

[Feb. 2026 - Present]

Nelogica Porto Alegre, Brazil

As part of the Automation Tools team
Builds low-latency, high-performance microservices using Delphi to serve thousands of daily users
Maintains mission-critical legacy systems, ensuring high availability and robust stability for core operations
Automates internal workflows and develops custom tooling to scale processes and improve overall efficiency

Optical Engineering Internship

[Jun. 2017 - Sep. 2017]

Télécom ParisTech Paris, France

As part of the Information Quantique et Applications research group
Worked with polarization-entangled photon pairs source
Stabilization and count optimization of the entangled photon pair source to be used in experiments testing Quantum Key Distribution protocols

:: EDUCATION

Ph.D. in Computational Statistical Physics

[Jul. 2021 - Feb. 2026]

Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil

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

M.Sc. in Computational Statistical Physics

[Mar. 2019 - May 2021]

Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil

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

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
Analyitical 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

Scientific Initiation (CAPES) on Quantum Information in 2013 and 2014
Presentation at the UFRGS XXVI Scientific Initiation Meeting (2014): Shor's Algorithm for Integer Factorization
Summa Cum Laude with final grade 9.54/10.0

:: PROJECTS

tsp-sa C++ | Python

Developed in the context of the M.Sc. research
Modular C++ library to perform optimization through Simulated Annealing
Supports Generalized Simulated Annealing and Tsallis Entropy statistics
Optimization logic works for arbitrary Markov chains, completely decoupled from the TSP implementation
Data analysis and plotting done in Python

artificial-systems Rust (ndarray, serde)

Developed in the context of the Ph.D. research
Computational models of artificial systems implemented in Rust
Simulation of Spin Systems (Ising and Blume-Capel models)
Investigation of the Contact Process with diffusion

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

Developed in the context of the Ph.D. research
Analysis of time series covariance matrices using Random Matrix Theory
Study of spectral properties and comparison with Marchenko-Pastur distribution
Analyzed data from NOAA temperature records, Spin Systems, and Contact Processes
Full data analysis pipeline implemented in the Julia ecosystem

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

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

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