Senior Software Engineer & Tech Lead
Architecting and building mission-critical software for quantitative finance, low-latency trading, and AI-driven systems.
About Me
I am a Senior Software Engineer and Technical Leader with a decade of experience building mission-critical, high-performance software. My expertise, founded on a rigorous engineering education from E.N.S.E.A, lies in architecting complex systems from the ground up, spanning embedded Linux to distributed cloud infrastructure, with a deep specialization in C++ and Python for low-latency and data-intensive applications.
I am driven by solving challenging problems at the intersection of quantitative finance, algorithmic trading, and artificial intelligence, where I can leverage my skills to drive technical strategy, lead engineering teams, and deliver tangible business impact.
Core Competencies
Projects Showcase
A selection of projects demonstrating key skills in my target domains.
High-Performance C++ Matching Engine
Developed a C++ limit order book (LOB) matching engine architected for low-latency execution. Features a modular, pre-trade risk management component to ensure production readiness and system stability.
Skills: C++17/20, System Architecture, Low-Latency, Finance.
Infrastructure for Reproducible AI/Quant Research
Engineered a reproducible research environment for quantitative finance using Terraform and Docker. The infrastructure automates the provisioning of cloud VMs with Jupyter, secure data access, and required ML libraries, enabling rapid prototyping.
Skills: Terraform, Docker, AWS/GCP, DevOps/SRE, Python.
ML-Powered Market Anomaly Detector
Built a Python service that consumes real-time market data streams to detect anomalous trading patterns using an ML model. Results are visualized on a live web dashboard, showcasing full-stack and data streaming capabilities.
Skills: Python, AI/ML, Data Streaming, Full-Stack.
Optimizing an ML Model for Embedded Systems
Optimized a pre-trained ML model for high-performance inference on resource-constrained embedded hardware. Utilized quantization, pruning, and an efficient C++ inference engine to achieve significant speed-up with minimal accuracy loss.
Skills: Embedded Systems, C++, Python, AI/ML, Performance Optimization.
Professional Experience
Jun 2023 - Present
Software Engineer
SAFRAN ELECTRONICS & DEFENSE (Consultant)
Architected and developed a high-performance data processing system using a microservices architecture (C++, Java, Python, Kubernetes) for critical aircraft mission applications. Drove technical design to improve data throughput and system reliability.
Dec 2021 - May 2023
Software Engineer
SAGEMCOM BROADBAND (Consultant)
Spearheaded the modernization of the CI/CD pipeline for a large-scale embedded Linux platform (Yocto/GitLab), significantly reducing build/test cycles and driving software integration for core networking features on broadband gateways.
Feb 2018 - Nov 2021
Software Engineer
Ingenico Healthcare/e-ID (Consultant)
Designed, implemented, and maintained critical firmware components in C/C++ for secure embedded systems, managing project priorities to ensure compliance with strict industry standards.
Sep 2017 - Jan 2018
Software Engineer
Zodiac Data Systems | ZODIAC AEROSPACE (Consultant)
Developed and optimized high-performance software for telemetry data processing systems, collaborating with cross-functional teams to deliver on key project milestones under an aggressive schedule.
Sep 2016 - Aug 2017
Software Engineer (Embedded Linux)
SAGEMCOM BROADBAND (Consultant)
Contributed to a custom embedded Linux distribution for network gateways, specializing in hardware bring-up, kernel-level debugging, and optimizing low-level network performance.
Education
2016
Master of Engineering (Diplôme d'Ingénieur)
E.N.S.E.A
Graduated from a top-tier French "Grande École" of Engineering, renowned for its rigorous, multidisciplinary curriculum that builds deep expertise in complex hardware and software systems.