Download PDF Version

Professional Summary

Ph.D. in AI with expertise in data science and data engineering. Passionate about neural networks, industrial research, and innovative solutions. Skilled in developing LLM applications, graph neural networks, and cloud-based data pipelines. Currently working as a Senior Data Scientist at Mindflow, focusing on generative AI and task orchestration in cybersecurity.

Experience

Data Scientist | Mindflow

April 2023 - Present

  • Creating no-code automation solutions using generative AI for cybersecurity
  • Implementing LLM and Langchain for operations orchestration
  • Leading team recruitment and delivering internal AI presentations

Data Scientist, PhD Student | Lectra

October 2019 - April 2023

  • Developed graph neural networks for material consumption optimization
  • Enhanced sections planning algorithm efficiency using GPU-accelerated computing
  • Published multiple research papers on graph neural networks and nesting efficiency

Data & Cloud Engineer | Lectra

September 2017 - August 2020

  • Built data processing pipelines for IoT devices and industrial systems
  • Implemented solutions using Apache Kafka, Kafka Streams, and Apache Spark
  • Deployed applications using Docker and Kubernetes in Azure cloud

Freelance Software Engineer

May 2013 - August 2021

  • Delivered data science solutions using Python, AWS SageMaker, and Google BigQuery
  • Developed web and mobile applications using React, Canvas API, and WebRTC
  • Created video games using Android SDK, Unity3D, and LibGDX
  • Won Android Codefest in Berlin 2013

Data Scientist Consultant | 2B Consulting

November 2016 - September 2017

  • Developed counterfeit detection algorithms using NLP at Cdiscount
  • Implemented deep vision learning algorithms for clothing pattern recognition
  • Created data processing pipelines using Hadoop, Hive, and Spark

Project Manager & Software Engineer | GROUPE CYBERTEK

March 2014 - November 2016

  • Optimized order preparation processes by integrating multiple marketplace APIs
  • Redesigned company’s online store with SEO and intelligent features
  • Developed order tracking system and improved ERP/CRM systems

Software Engineer | NEXEYA

October 2012 - April 2013

  • Developed multi-user, multi-sensor data fusion platform for naval defense
  • Implemented C++/Qt modules for data acquisition and processing
  • Created technical documentation for defense systems

Software Engineer | LaBRI

October 2011 - September 2012

  • Created web services for image and algorithm sharing across research teams
  • Developed multi-language APIs (C++/Qt, C#, Java) and JavaScript web application
  • Provided platform training for doctoral students and drafted ANR technical specifications

PhD Student & Software Engineer | Foxstream

September 2009 - August 2011

  • Implemented and compared background-extraction and tracking algorithms
  • Developed video analysis software with Winforms and MFC interfaces
  • Published research on background subtraction algorithms for intrusion detection
  • Enhanced network video stream processing using OpenCV and Winsockets

Research Intern | Inserm

January 2009 - June 2009

  • Developed robotic learning system using C++, TCL, and Bayesian statistics
  • Implemented demonstration-based learning using Markov networks
  • Created statistical models for robotic rule learning

Research Intern | EMC Lab

February 2008 - July 2008

  • Simulated neural-astrocyte network models for epilepsy study using Java
  • Using Runge-Kutta (RK4) solver for differential equations
  • Published research on neurons-astrocyte network modeling in epilepsy

Technical Skills

  • Languages: Python, Scala, JavaScript, SQL
  • AI/ML: PyTorch, Deep Graph Library (DGL), Langchain, Deep Learning
  • Cloud: AWS, Azure, Azure Machine Learning, Google BigQuery
  • Tools: Pandas, Power BI, D3.js, Docker, Kubernetes

Education

Ph.D. in Mathematics and Computer Science Université de Bordeaux | 2019 - 2022

Master 2, Cognitive Science Université Lumière (Lyon II) | 2008 - 2009

Publications

  • Graph neural network comparison for 2D nesting efficiency estimation
  • Réseaux profonds basés graphes pour la prédiction d’efficience de placements 2D
  • A neurons-astrocyte network model: from synaptic boosting to epilepsy

Languages

  • French (Native)
  • English (Full Professional)
  • Russian (Elementary)

Contact

  • Email: corentin.lallier@gmail.com
  • LinkedIn: linkedin.com/in/corentin-lallier-7b6a1469
  • Portfolio: clallier.github.io/blog/