Profilbild von bilel said Senior Software Freelancer | Machine Learning Expert aus Ingolstadt

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Letztes Update: 10.05.2022

Senior Software Freelancer | Machine Learning Expert

Firma: Bilel Said
Abschluss: Eectrical engineering and computer science
Stunden-/Tagessatz: anzeigen
verhandelbar
Sprachkenntnisse: arabisch (Muttersprache) | deutsch (Muttersprache) | englisch (gut) | französisch (gut)

Dateianlagen

CV_BilelSAID_EN.pdf

Skills

Deep Learning, debugging, LSTM, Scrum, OOP, Bayesian, Python, Anaconda, TensorFlow, Keras, C++, ADS2, ADTF, GIT, Jenkins, Jira, Machine learning, Supervised Learning, Bazel, Matlab, SWC, MISRA, Algorithm, Continuous Integration, functional testing, TargetLink, dSPACE, DOORS, spline, Simulink, Stateflow, TFS, Image Processing, Pattern Recognition, Computer vision, Alkemia, C, OpenCL, Android, Java, SQLite, Gradient Analysis, Convex Optimization, Windows, Unix, ARM, TEGRA, GPU, Data, AI Data processing, SQL, Reinforcement Learning, Embedded Inference, TensorRT, Tensorflow Lite, Tiny ML, Tensorboard, Coding C, Kotlin, PHP, Cuda

Projekthistorie

09/2020 - 06/2021
Product Owner (Contractor)
United Medical GmbH (< 10 Mitarbeiter)
Internet und Informationstechnologie

Full Stack Web & Mobile APP Development
Description: German freelancing platform that matches between doctors and hospitals

  • Brainstormed and defined the core features (functional & non-functional requirements) to address client’s needs

  • Put together and managed remotely an international team of 6 members (Scrum master, UI/UX designer, Frontend,Backend, Android & iOS mobile developer and DevOps engineer)

  • Planned and managed the app development following the agile scrum methodology

  • Designed the software architecture: databases, functions and system behavior

  • Optimized the cloud infrastructure’s costs while maintaining the app’s performance within KPIs

  • Established the CI/CD pipeline using containerization (Docker)

  • Designed and implemented a machine learning algorithm to optimize the matching function and thus enhance the user-experience

  • Held biweekly meetings with the client and daily alignments with the dev-team to ensure costs, time and quality are met


03/2019 - 08/2020
Lead Software & AI Engineer
Astech - Audi company (250-500 Mitarbeiter)
Automobil und Fahrzeugbau

Deep Learning Engineer, Autonomous Driving
Description: Highway Pilot Situation Interpretation using Deep Learning techniques

  • Led the collaborative development of a domain classification concept (Highway/City) between different compa- nies: Astech, EFS and Audi

  • Designed the logical and detailed architecture of the common training pipeline for domain classification, corridor estimation and lane change manoeuver prediction modules

  • Took part in developing the training pipeline and debugging the models training process (CNN, LSTM, FFN)

  • Established the embedded realtime inference of the trained models


11/2018 - 08/2020
Project Initiator & Lead
Astech - Audi company (50-250 Mitarbeiter)
Automobil und Fahrzeugbau

Machine learning based Advanced Driver Assistance Systems
Description: Machine Learning based turning recognition for KAS performance enhancement
  • Analysed KAS system limitations causing False-Positives (false car braking actions)
  • Defined a machine learning based concept for FP mitigation and introduced it to Audi’s innovation board • Managed a team of 5 persons to achieve a POC for improving      KAS behavior
  • Achieved a 75% reduction of KAS false actions rate


10/2016 - 01/2019
Embedded Software Developer
Astech - Audi company (250-500 Mitarbeiter)
Automobil und Fahrzeugbau
Description: Model based developement of an ASIL SWC for collision mitigation and driver assistance in crossing scenes
* Developed model based features conform to MISRA and functional safety norm ISO26262
* Optimized and validated iteratively the time to collision estimator Algorithm
* Introduced and implemented a Continuous Integration concept to the project. This allowed a fully automation
of our Build and release process to better meet our biweekly release deadlines
* Project configuration manager: version and sustainability management of all relevant configuration items
* Supported MIL, SIL and functional testing
Keywords: Model Based, MISRA, Functional Safety, Time To Collision, Kinematic Motion Models, CI, Configuration Plan
Tools: Matlab | TargetLink | C | PolySpace | Misra | dSPACE | PTC Integrity | Jenkins | DOORS | Python

09/2014 - 09/2016
R&D Engineer
Baker Hughes Inteq GmbH (>10.000 Mitarbeiter)
Energie, Wasser und Umwelt
Directional Drilling Control System (RSS) | Certificate
Description: Robust Control of a Rotary Steering System to automate directional drilling operations
* Modeled and validated the dynamic behavior of a rotary steering system within its operating environment
* Developed a trajectory planning method based on the spline interpolation theory
* Designed a robust control system for efficient path tracking while drilling
* Supervised and coordinated 3 master students involved in the project
* Co-authored a patent: "Depth-based borehole trajectory control" - USA | Patent
Keywords: Nonlinear Systems, Stability Analysis, Fourier Transform, Model Predictive Control, Partial Differential Equations
Tools: Matlab | Simulink | Stateflow | Acado | TFS | BHAsysPro

03/2011 - 11/2011
Working Student
Kratzer Automation (250-500 Mitarbeiter)
Automobil und Fahrzeugbau
Numerical Modeling & Optimization | Certificate
Simulated the dynamic behaviour of an injection nozzle and optimizated its operating point by solving a Pareto
Optimality Problem
Keywords: Numerical modeling, Gradient Analysis, Convex Optimization, GUI
Tools: Matlab Optimization Toolbox | Simulink

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