Rafaël Gameiro Contente

Skills: Python (Programming Language) · Rust (Programming Language)

Build backend services for the Total Energies R&D department (OneTech, Digital Solutions) • Development of Python applications using FastAPI, PostgresSQL, Docker, AWS, Gitlab Actions • Design and implementation of the cloud architecture (AWS) for migrating Python applications into the cloud (ECR, Batch, Fargate, EC2) • Acting as a technical reference for Python in other Python-based projects within the R&D department Python, FastAPI, Redis, Celery, Docker, AWS, Gitlab Actions

Test migration for the Hybrid Cloud Management Solution (RING) • Refactored and implemented E2E and unit tests to improve code coverage (Pytest, python lambdas) • Upgraded in-house test library and improved APIs used to setup test envi- ronments and interact with them (Docker, AWS EC2) • Upgraded library used to execute shell commands remotely over SSH (Fabric 1 to Fabric 3) • Enforced automated code quality process for Gitlab CI (Poetry, Black, Mypy, Flake8) and Git (Git hooks) • Added the support of Redhat9 and Rocky9 operating systems • Provided technical guidance and support to teams Python, Docker, AWS, Gitlab Actions

SUN ZU Lab is a provider of quantitative analytics and research to en- able optimal execution of crypto assets. • Developed high performance feedhandlers (Rust) for crypto markets using Websocket API (Kraken, Binance, Deribit...) • Provided several outputs: - Fast real-time compressed files (Facebook Zstandard) stored in AWS S3 - Publication on the AWS managed message broker Amazon MQ - Storage on high performance timeseries database QuestDB • Created a referential service from scratch to provide market-agnostic instru- ment information (such as BTC/USD, ETH/EUR) using FastAPI in Python (with sqlalchemy, pydantic) and PostgreSQL storage, automatically deployed with Docker on AWS EC2 • Developed a service to monitor and archive market data files from AWS S3 to AWS Glacier in Rust • Monitored feedhandler performance using Prometheus and creating dash- boards with Grafana utilizing the ELK stack (Elasticsearch, Kibana) • Developed a Python library wrapper for an in-house performant Rust com- puting library (including Black-Scholes, Probability of execution, Weighted Moving Average) using PyO3 • Provided support for Quantitative Analysts/Traders through integration in Jupyter Notebooks • Identified and resolve anomalies in market data, such as missing trades or order quantity discrepancies, utilizing Jupyter Notebook (numpy, matplotlib) • Configured CI/CD on Gitlab CI with deployment on AWS EC2 • Demonstrated strong ownership and fostering a result-oriented culture in a fast-evolving environment Rust (%70), Python (30%), Kafka, PostgreSQL, Docker, AWS (EC2, Lambda, S3, Glacier), Gitlab CI, Linux

SaaS platform enabling renewable energy producers to sell it on the energy markets. • Developed energy production forecast microservices in Python hosted on AWS EC2 based on wind and solar energy data stored on PostgresSQL • Developed service in Rust to fetch and process wind turbine production data (SCADA protocol) • Developed the connection to Nord Pool intraday trading platform Web- socket API in Rust (Actix, SockJs, Stomp) in the context of a wider project, automated trading bot to cut loss in case of energy poor quality forecast • Implemented robust unit testing and continuous integration to ensure the quality and reliability of software components on Gitlab CI • Performed code review of peers to maintain quality and prevent bugs • Developed Infrastructure as code configuration with Ansible and Terraform • Performed on-call shifts to maintain quality of service on critical software on a weekly basis • Engaging experience since any poor quality production forecast can lead to substantial loss Python (70%), Rust (%30), Docker, PostgreSQL, Docker, AWS (EC2, Lambda, S3, Glacier), Gitlab CI, Linux

Ultra-low latency technologies and solutions for the financial industry with FPGA-enabled products. • Developed software feedhandlers for traditional financial markets in modern C++ • Developed test benchmark framework in Python (templating/code genera- tion with Jinja2) in order to compare hardware (FPGA-based) and software • Performed code review of peers to maintain quality and prevent bugs • Created comprehensive internal and external documentation to facilitate seamless understanding and usage of the developed solutions • Provided technical guidance and support to demanding customers (BNP Paribas - Automated Market Making division) C++ (boost, gtest), CMake, Python, Bash, Docker, Git, Linux

Software Contractor at SOFTBANK ROBOTICS EUROPE in Interaction division Global leader in robotics technology, specializing in creating humanoid robots and AI solutions • Developed SDK to improve communication between Android and Pepper robot in modern C++ (async, smart pointers) • Developed tests in C++ with Google Test framework • Delivered prompt and efficient work during a demanding and high-volume workload period C++ (boost, gtest), Bash, Valgrind, gdb, Git, Linux

Software Contractor at THALES COMMUNICATIONS & SECURITY on the EBMR project. Project to develop the new Multi-Role Armored Vehicle for the French Army • Interconnected military-grade devices through a pub-sub architecture in C++ • Developed tests in Python • Performed code review of peers to maintain quality and prevent bugs C++, Python, Bash, Valgrind, gdb, Git, Linux

Benchmark of real time operating systems - Linux environment (kernel compilation, Bash scripts) - Practical application of real time theory

- Development of interface solutions for integrated touchscreen cockpits during air turbulence (rapid prototyping in QML) - Test procedure implementation in C++ - Analysis of the results and efficiency assessments (ANOVA)