Who am I
Overview
Hi, I am Nathan, a French Software Engineer. I have worked for the past two years in the United States, focusing on C++ and Python. I am now aiming to move to Canada. My background is in mechanical and mechatronics engineering, and I am interested in aerospace, computer vision, AI, and finance! (Also, this portfolio is mostly an excuse for me to play with React and Web 3D Graphics)
What I have done so far
Work Experience
Software engineer
Velo3D
- Developed C++ and Python software, to control electronic and pneumatic systems for metal 3D printers, involving numerous multi-threaded processes across multiple embedded systems.
- Implemented a crucial functionality, accessible through the main UI (QML), enabling customers and manufacturing engineers to monitor and override process-critical settings on different servers effortlessly. This ensures a reliable qualification process for new printers, contributing to the overall system’s robustness.
- Enhanced O2 correction using multiple sensors and applying effective filtering techniques, decreasing printer build failure rate.
- Upgraded the BKM framework of the laser controller firmware through additional available configurations.
- Introduced the latest sensors and controls of an SIB into the simulator designed for the newest printer generations.
- Reworked the consistency of powder bed recoating using asynchronous pneumatic controls.
- Collaborated as a team member in an agile development process using Jira, Git, pull request reviews, and CI/CD with Jenkins. Demonstrated a strong commitment to being a team player throughout the development cycle.
Software engineer
Qualcomm
- Developed APIs using Python and C++ to support libraries, improving software functionality and system performance.
- Utilized OpenCL, OpenGL, and EGL to enable graphical features on embedded systems.
- Conducted validation on Qualcomm’s internal camera APIs for the latest chipset firmware builds.
- Created an audio capture and playback tool for Linux-based virtual machines using the ALSA library.
Machine Learning Engineer - Intern
Kapaix Ltd
- I was fortunate to work for three months in a Big Data Management company handling data from various energy companies. This internship aimed to assess the quality of a massive time series database. I designed and trained neural network architectures to detect potential anomalies in the data flow, focusing mainly on the amplitude and frequency of data point values.
- I preprocessed the dataset by building histograms with variable time frames: I used Principal Component Analysis and k-means clustering as the first analysis tool. I constructed two machine learning models to work concurrently to compensate for the limited training data:a classification model and a autoencoder architecture using mostly dense layers and CNNs. This project was designed using Python: Keras - TensorFlow - Pandas
My work
Project
Here are some personal projects I've worked on, whether academically or just for fun.
Path Finding Algorithms
Path-finding algorithms with C++ and the Qt framework with real time visualization.
#C++
#Qt
Lidar-Localization of Autonomous Vehicule
Ensuring navigation integrity and safety in an area with low GNSS availability with a lidar sensor.
#Lidar
#Localization
#Matlab
VGG vs ResNet
VGG16 and ResNet50 blood cells classification, using TensorFlow and image data generators..
#Tensorflow
#JupyterNotebook
#Generators
Graph SLAM
Coding a Graph SLAM algorithm by hand, and applying it to the Victoria Park Dataset.
#GraphSLAM
#Python
Drive Cycle and Autonomous Vehicle
Building an autonomous drive cycle vehicle by implementing following-controls of a standard EPA drive cycle
#AutonomousVehicles
#DriveCycles
#PID
3-axis SCARA Robot Modelization
Kinematic and dynamic modelization of a 3-axis SCARA robot, with controls
#Simulink
#Dynamics
My Education
Degrees
Research Project: Navigation Integrity of Lidar-based localization
Navigation Laboratory - Illinois Tech
- During my year in Chicago, I had the chance to complete a research project in the Navigation Laboratory of Illinois Tech on lidar-based localization of autonomous vehicles. The goal was to ensure navigation integrity and safety in an area with low GNSS availability (Chicago downtown here). A Velodyne’s Puck lidar sensor was then used to add landmark detection to compensate for IMU drift.
- The interesting twist in this project was the use of the Error Correction Codes domain to ensure landmark identification against the misassociation problem (basically, we want to identify which object, trees in this case, was detected). I researched the implementation of Hamming and BCH codes for this objective and, by the end I established a Misdetection Error Model to quantify the Probability of Hazardously Misleading Information.
Master of Engineering
Illinois Institute of Technology - Chicago
- Advanced robotics: Simultaneous Localization And Mapping algorithms, Kalman filters, Path Planning
- Machine Learning: Neural Networks, Image Recognition, Data-Driven Modelization, Control of Systems
Master's Thesis: Isogeometric Representation of Turbojet Blades
Structure Mechanics laboratory - INSA
- This thesis, for the LaMCoS laboratory (Contact and Structure Mechanics), in collaboration with Safran Aircraft Engines, was centered around the merge of CAD (Computer-Aided Design) and FEA (Finite Element Analysis) methods through Non-Uniform Rational Basis Spline (NURBS) manipulations. The main goal of this thesis was to create an algorithm to generate a fillet between two CAD volumes. We used this fillet to join the blade and its root volumes of a turbojet engine. I implemented a fillet patch mesh to join those 3D curves on Python with Numpy and Geomdl. I also analyzed the structure of these engine blades using parametrization models by projection, interpolation, and approximation of splines.
Master of Science: Mechatronics
INSA Lyon - France
- Advanced Robotics and Active controls
- Analysis and calculation tools (experimental and numerical methods, mathematics)
- Dynamics and systems (vibrations, system control, dynamics)
- Design, manufacturing, controls (design and analysis of mechanical systems)
- Mechanics, transfers, materials (materials, mechanics of deformable solids, mechanics of fluids, thermal transfers)
- Technical and Scientific projects
- Innovation and R&D
- Languages, human and social sciences (management, marketing, communications)
Bachelor of Engineering: Electronics and Computer Science
CPE Lyon - France
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