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Clement LEBRETON

@clementlebreton

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Fullstack Software Developer specializing in trading solutions and data analytics.

France

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth in technology-driven finance.

I am a Fullstack Software Developer with a strong background in building scalable and high-performance trading solutions, particularly in the commodity sector. My expertise lies in designing and deploying cloud-based architectures, data analytics pipelines, and AI-driven forecasting tools. I am passionate about bridging technology and finance to optimize trading strategies and enhance risk management.

Currently, I serve as a Senior Software Developer at Energetech Trading DMCC, where I led the development of a climatology tool that integrates advanced AI models for weather forecasting, saving an estimated €2M in risk reduction. My experience includes leveraging technologies such as Angular, Python, Docker, and Databricks to create robust trading applications. I also have a strong foundation in data visualization and interactive web applications, enabling real-time market analysis.

Throughout my career, I have contributed to various projects, including the automation of energy trading and the development of medical signal processing applications. I thrive in collaborative environments, working closely with quantitative analysts and traders to implement solutions that support complex trading strategies. I am eager to continue leveraging my skills in software development and data analytics to drive innovation in the finance sector.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Developer

Current

Energetech Trading DMCC

Feb 2023 - Present (2 years 3 months)

Led the development of a climatology tool for long-term power trading, integrating AI models for weather forecasting, which saved an estimated €2M. Developed frontend with Angular/TypeScript and backend solutions using Python, Docker, and Databricks. Designed an LLM-powered sentiment analysis platform for market evaluation and created interactive web applications for real-time trading data visuali

Angular TypeScript Python Docker MongoDB Databricks Kubernetes AI

Backend Software Developer & Data Scientist

Alpiq AG

Aug 2021 - Feb 2023 (1 year 6 months)

Automated energy trading by developing key software components for an algorithmic trading framework. Delivered high-speed data analytics solutions using Python and designed serverless backend architectures. Worked with Kafka for data transfer and automated deployment using GitLab CI/CD and Terraform.

Python Pandas NumPy PostgreSQL DynamoDB Kafka AWS Lambda Docker Gitlab CI Terraform

Backend Software Developer & Project Manager

VIPO Group

Sep 2020 - Aug 2021 (11 months)

Designed a high-performance web-based image processing system using Python and Flask in a fast-paced startup environment. Focused on user needs and autonomous learning to deliver real-time analysis solutions.

Python Flask PyTorch Web Development Image Processing Project Management Agile Methodologies User Experience

Medical Signal Processing Application Developer

Laboratory of Image and Signal Processing (LTSI)

Sep 2019 - Sep 2020 (11 months)

Developed an application for medical research and clinical studies, ensuring compliance with medical device norms. Focused on signal processing and data analysis to support clinical applications.

Signal Processing Application Development Python Data Analysis Clinical Research Software Development Project Management

Education

Degrees, certifications, and relevant coursework

University of Rennes 1

Bachelor of Technology, Electrics, Electronic Engineering and Telecommunications

2014 - 2017

Completed a Bachelor of Technology in Electrics, Electronic Engineering and Telecommunications, focusing on the principles of electrical engineering and telecommunications systems.

Institute of Technology

Associate’s degree, Electrics, Electronic Engineering and Telecommunications

2014 - 2016

Achieved an Associate’s degree in Electrics, Electronic Engineering and Telecommunications, emphasizing foundational knowledge in electrical systems and telecommunications.

University of Rennes 1

Master of Science, Signal, Image Analysis and Processing

2019 -

Pursued a Master of Science in Signal, Image Analysis and Processing with relevant courses in Advanced Statistics and Signal Processing, Image Processing, Machine Learning, and programming in C, C++, Java, and Python.