Hugo Durand-Bombette
CTO | Python | Data Engineering | Machine Learning
Salaire / Taux journalier
Luxembourg
Freelance, ouvert au CDI
Peut venir sur site
Expertises
Langues
Expérience de travail
Founder
AccelerateFreelance
oct. 2025 - Présent
1 an 1 mois
Luxembourg
I founded Accelerate to help software-driven companies regain technical clarity when delivery, architecture, or engineering organization starts limiting business progress. The role combines fractional CTO support, architecture advisory, delivery recovery, and hands-on technical strategy for founders and leadership teams that need senior technical judgment without hiring a full-time CTO. Responsibilities and scope: - Act as fractional CTO, technical advisor, or architecture partner for founders and executives. - Assess engineering organizations, delivery processes, architecture, infrastructure, and technical decision-making. - Identify bottlenecks behind slow delivery, fragile systems, unclear priorities, weak ownership, or scaling friction. - Translate business priorities into technical roadmaps, architecture choices, and execution plans. - Support architecture decisions across backend systems, data platforms, cloud infrastructure, integrations, and AI products. - Strengthen engineering practices around code quality, testing, CI/CD, observability, production readiness, and technical debt. - Support delivery recovery by clarifying priorities, improving ownership, and reconnecting product, business, and engineering. - Review vendor, platform, and build-vs-buy decisions from technical and business perspectives. - Support hiring, technical evaluation, mentoring, and team scaling. - Help leadership teams turn technology back into a lever for execution. Advisory scope: fractional CTO, technical leadership, architecture advisory, delivery recovery, engineering effectiveness, technical due diligence, platform strategy, AI strategy, data platforms, cloud architecture, vendor evaluation, build-vs-buy decisions. Focus areas: CTO advisory, technology strategy, architecture strategy, technical roadmap, software architecture, engineering leadership, delivery performance, production reliability, technical debt, cloud-native platforms, distributed systems, data engineering.
AlphaOmega SA
janv. 2021 - oct. 2025
4 ans 10 mois
On-site
CTO
sept. 2023 - oct. 2025
2 ans 2 mois
On-site
I was promoted to CTO after progressively taking ownership of technical strategy, architecture, delivery, infrastructure, and engineering organization during AlphaOmega’s scale-up phase. The role combined executive technology leadership with hands-on architecture and platform direction, focused on aligning engineering execution with business priorities and helping teams scale sustainably. Responsibilities and achievements: - Led technology and structured the engineering organization up to 30 people. - Defined the technical roadmap with executive, product, and business stakeholders. - Adopted a squad-based operating model with clearer ownership and delivery accountability. - Supported and mentored managers, leads, developers, data engineers, and DevOps profiles. - Owned architecture for the core distributed data platform and internal product ecosystem. - Guided the shift from an early monolith to cloud-native microservices on OpenShift. - Strengthened standards around architecture, testing, code review, quality gates, observability, and production readiness. - Enabled engineering to reach 5+ deploys/day, lead time under 2 weeks, change failure rate under 20%, and MTTR under 1 hour. - Formalized technical debt management, architecture reviews, incident response, and reliability practices. - Participated in hiring, onboarding, performance reviews, career development, and engineering culture. - Represented technology in roadmap trade-offs, budget, risk, and strategic planning. Technical scope: Python, FastAPI, Kafka, Flink, PostgreSQL, Docker, OpenShift, GitHub Actions, ArgoCD, GitOps, observability, REST APIs, microservices, data pipelines. Focus areas: CTO, technology strategy, architecture strategy, engineering leadership, technical roadmap, cloud-native platforms, distributed systems, data platforms, DevOps, delivery performance, production reliability, team scaling, executive alignment.
IT Manager
mars 2022 - oct. 2023
1 an 8 mois
Hesperange, Luxembourg
I moved into engineering management as AlphaOmega’s product, team, and platform complexity increased. The role combined hands-on technical contribution, team enablement, delivery coordination, and stronger engineering practices. My focus was to help the team execute more predictably while staying close to architecture, backend, data, infrastructure, and production operations. Responsibilities and achievements: - Coordinated engineering work, delivery follow-up, and technical execution. - Helped developers move faster by clarifying priorities, removing blockers, and aligning technical choices. - Structured the team around clearer responsibilities, ownership, and product priorities. - Supported developers through mentoring, code reviews, technical guidance, onboarding, and pair debugging. - Coordinated backend, data, DevOps, and product delivery across multiple business needs. - Introduced stronger practices around testing, code review, branching, deployment discipline, documentation, and quality checks. - Defined architecture principles, module boundaries, dependency direction, and implementation standards. - Stayed hands-on across backend services, data processing, infrastructure, debugging, and production support. - Improved monitoring, incident response, reliability, and debugging practices. - Supported the move toward scalable infrastructure, containerized services, and automated deployment. - Worked with stakeholders to translate operational needs into technical priorities. - Recruited, onboarded, and mentored engineers as the team expanded. Technical scope: Python, SQLAlchemy, Pandas, Celery, Kafka, PostgreSQL, MSSQL, MongoDB, Docker, OpenShift, GitHub Actions, ArgoCD, GitFlow, REST APIs, backend services, data processing, job orchestration, CI/CD, DevOps, monitoring, production support. Focus areas: engineering management, technical leadership, team enablement, software architecture, data engineering, delivery coordination, production operations.
Python developer | Data engineer
janv. 2021 - mars 2022
1 an 3 mois
Hesperange, Luxembourg
I joined AlphaOmega as one of the founding engineers and led the development of the first versions of the company’s data automation and processing platform. The role covered backend development, data engineering, infrastructure, automation, and production support. As the team grew to around five people, my role expanded into technical coordination, delivery support, and day-to-day guidance, while I remained hands-on. Responsibilities and achievements: - Built backend services and data processing workflows in Python. - Developed core automation features used by internal and customer-facing operations. - Worked with SQL databases, data pipelines, job orchestration, APIs, and operational tooling. - Designed and implemented foundations for the distributed data processing platform. - Built integrations between internal systems, external data sources, and business workflows. - Coordinated early engineering work, aligning priorities, implementation choices, and delivery follow-up. - Supported and mentored newer developers through code reviews, technical guidance, pair debugging, and onboarding. - Introduced early engineering best practices around code structure, reviews, testing, Git workflow, documentation, and production awareness. - Shaped architecture discussions, module design, and technical decisions as the platform grew. Supported production operations, debugging, monitoring, and performance improvements. - Defined early infrastructure, deployment, and DevOps practices. - Worked with founders and business users to turn operational needs into working software. - Moved manual and semi-manual processes toward scalable software-driven operations. Technical scope: Python, Pandas, SQLAlchemy, Celery, SQL, MSSQL, PostgreSQL, MongoDB, APIs, data pipelines, job orchestration, backend services, automation, Docker, Git, CI/CD, production debugging, monitoring, performance optimization.
Deep Learning R&D Engineer
Thales
juil. 2020 - déc. 2020
6 mois
91120 Palaiseau, France
"Deep Learning for objects detection in 3D point clouds" Within the VAR (Vision, Autonomy and Robotic learning) laboratory, I worked on exploring deep learning solutions for object detection in 3D point-clouds. I made a state of the art of deep learning algorithms and resources for object detection in 3D point-clouds. I identified and selected relevant models (SECOND, PointPillars and others) and applied them to develop a demonstrator performing object detection in point-clouds in real-time. I implemented a data pipeline for RGBD images and trained models on the extracted point-clouds. I built docker images to run experiments and trainings both on a local machine and HPC servers. used: Linux, Python, Git, Docker, Pytorch, Jupyter, Glumpy, OpenGL
Machine learning engineer
XXII
mai 2019 - août 2019
4 mois
92150 Suresnes, France
Within the research and development team, I took part in researching and testing solutions for developping and improving services and products offered by XXII. (May - june) I worked on the developpement of building blocks implementing functionnalities for an online A.I services platform, along with corresponding Docker containers and unit tests. I also contributed to improve the internal processes of the team through the redaction of extensive documentation about the platform, as well as streamlining the process of creating new building blocks for that platform. (July – August) I researched, tested and evaluated image processing techniques for various tasks related to plane maintenance monitoring. Used: Linux, Git, Docker, Python, PyTest, Jupyter, OpenCV, Scikit learn
Data-scientist junior
WeProov
juil. 2018 - août 2018
2 mois
7620 Paris, Danemark
I was charged with the early development of an A.I capable of detecting and identify car parts and damages on cars. With the goal of making a P.O.C. Using different machines learning framework such as Darknet or Tensorflow, and different neural networks for object detection (YOLO, ResNet, Detectron, Mask-RCNN) I tested and evaluated the possibilities of using this kind of technology for segmentation of the car parts and damage detection. I also devised and implemented a streamlined process for annotating and managing images of damaged cars from WeProov's database to be used for training. This allowed for employee without prorgramming skills to help constituting two datased of more than 3000 annotated images. Used: Linux, Git, Docker, Python, Darknet, Tensorflow, Jupyter
Data-scientist trainee
WeProov
févr. 2018 - mars 2018
2 mois
7620 Paris, Danemark
As my first professional experience, I joined the development team of Weproov, a start-up developping an application for digitalized check-ups. As many of their clients were car renters, they were considering the usage of A.I for automatisation of the checking process before and after the rental. My internship consisted of establishing a state of the art of the field of object detection and set up a development environment for machine learning (ie: install linux on a GPU equipped machine, drivers and tools: CUDA, CUDnn, Darknet, Tensorflow, docker, jupyter) Furthermore, I annotated images from Weproov's database and applied OCR/object detection algorithms to read registration plates and detect head/tail lights in order to evaluate the possibilities to exploit the images gathered in their database. Used: Git, Docker, Python, Darknet, Tensorflow
Formation
Cranfield University
MSc, CSTE
2019 - 2020
1 an 1 mois
MSc Computational & Software Techniques in Engineering (opt: Software Engineering for Technical computing) Computational Methods C++ programming Requirement Analysis and System Design Software Testing and Quality Assurance High Performance Technical Computing Cloud Computing Parallel Programming Visualisation Management for Technology
ESTIA Institute of technology
Master en ingénierie, ENGINEERING
2017 - 2020
3 ans 1 mois
Cité scolaire Michelet - Vanves
CPGE MPSI/MP
2014 - 2017
3 ans 1 mois