Florentin DAM

Thanks-Boss

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- vous avez du mal à trouver le bon job ?
- vos critères ne sont pas pris en compte ?
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Notre IA développée en interne ressemble à un chatgpt spécialisé dans le recrutement et saura prendre en compte tous vos besoins pour vous décrocher le meilleur job !

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CTO et Fondateur

Targech

Conseil aux entreprises en développement de solutions informatiques et en recrutement de profils tech.

Besoin d'un profil tech ? Vous pouvez me contacter directement pour un échange personnalisé.

TARGECH vous accompagne également dans vos projets de big data, d'intelligence artificielle et développement web.

Président et Fondateur

Break the code

Les technologies que tu utilises chaque jour cachent quelque chose !

Pourquoi Booking te fait attendre après une recherche ?
Comment fait Netflix pour cibler tes goûts ? (épisode 2)
Comment Uber te manipule avec son app ? (épisode 3)
Tu ne t'es jamais posé ces questions pourtant maintenant tu veux les réponses ?

Tu es à l'endroit idéal pour ça !

Bienvenue dans Break the code. La première émission qui regroupe un UX designer et un Data Scientist pour décrypter la technologie.

Dans chaque épisode nous allons te révéler les secrets qui se cachent dans la tech qui l'entoure !

Pour découvrir le podcast c'est par ici 👇

Sur Spotify
https://open.spotify.com/show/7h75PoXf8HtXwptio1a07u

Sur Apple podcast
https://podcasts.apple.com/fr/podcast/break-the-code/id1641920143?l=en

Sur Google podcast
https://podcasts.google.com/feed/aHR0cHM6Ly9icmVha3RoZWNvZGVzaG93LmNvbS9mZWVkL3BvZGNhc3Q

Sur Podcast Addict
https://podcastaddict.com/podcast/4077015

Co-Animateur du podcast

Akka Technologies

● EU-SYSFLEX (since beginning of 2018)
35 companies, H2020 European projects , Smart Grids, Business Analysis, Big Data architecture, Machine Learning, Deep Learning, Web development, DevOps, Negociations, details in the project section , remotly co-supervising a trainee with two other countries, energy consumption prediction from past consumption and weather data, model deployment

● ESA Collision Avoidance Challenge : predict collision between spacecrafts and debris, managing a Doctor in Space and an intern soon 

● Kaggle Production Line Performance 
Managed 2 data scientists in average, Machine Learning, Deep Learning, Big Data, details in the project section

● POC Factory 4.0: Predictive maintenance
Managed 2 Python developers in a team of 10 people, Big Data, Machine Learning, details in the project section

● Computer Vision : For a client, vegetation field boundary extraction using satellite images, Deep Learning, managed 1 data scientist, got support from 2 PhDs Computer Vision Experts, AZURE

● European Project proposal (Shift2Rail)
Anomaly detection in bogies with AI, railway sector, 9 companies (strategy, business and technical negociations, budget, state of the art analysis in AI, Big Data, macro-planning, Work Package Leader for the Machine Learning work package, ...) 

● French Project proposal (ANR)
Polution detection in liquids with Deep Learning and Computer Vision, 4 companies

● Member of a Jury for international projects evaluation

Tools : 
Machine Learning & Deep Learning : Python, Tensorflow, Keras, Google Colaboratory
Big Data : Spark, Hadoop
Data Transformation : Pandas, Numpy
Some algorithms : Random Forest, XGBoost, LSTMs, CNNs, Attention Mechanisms, Seq2Seq, Mask-R-CNN ...

Project Leader / Data Scientist

Main tasks:
- Learn new technologies
- Participation in tenders
- Technical supervising
- Technical and Business Architecture 
- Development : Web, Big Data, Machine Learning
- DevOps : Jenkins, Docker, SonarQube
- Django, Angular, Blockchain, Deep Learning, SmartGrid, ...

3 projects :

● Industry 4.0 (Confidential):
-> Big Data, Machine Learning, Software, POC, Predictive Maintenance, ... 

● EU-SYSFLEX : european project in SmartGrid :
- Blockchain, Big Data, Deep Learning, Architecture, DevOps, Software, Web Development, Business, Negociations, ... 

● Project Leader - POC Machine Learning for anomaly detection with Big Data

More details are available in Projects.

Data Scientist (Full Stack)

Sopra Steria, Cimpa PLM Services (ex-Airbus)

Confidential - Defense project
Client : Naval Group (ex-DCNS)

Job: 
● Software Engineering
● Writting functionnal and technical specifications
● Meetings with the client
● Product Life Management

Technologies:
● Development:  Java, Python, XML, SQL, Spring, Hibernate, HTML, CSS, JavaScript, GWT, JSON, Talend, NoSQL, Neo4j, Design Pattern, Web services
● Test : JUnit, JMeter, Jacoco, Squash, SonarQube
● Environment: Git, Jenkins, Nexus, Maven, MariaDB, MongoDB, MongoDB Compass, Tuleap, Windows, Linux, Tuleap, Rest, ActiveMQ

Big Data & Software Engineer

European Space Agency

● Context : 
- CryoSat-2 Mission : Satellit which measures the ice thickness on Earth
- Development of the Mission Planning System Toolkit
- High flexibility of the tool

● Methodology:
- V Model (Faisibility study, architecture, development, test and validation)
- AGILE - SCRUM
- Presentations in English

● Technical points:
- JAVA, XML, UML, SVN, Linux, Solaris, MobaXterm
- Test (integration et regression)
- User training

● Résultats :
- Rédaction de l'étude de faisabilité, de rapports de tests, d'un guide de développement et d'utilisation
- Outil testé et validé
- Evolution du logiciel par l'équipe

● Formation :
The Ladybird Guide to Spacecraft Training

Software Engineer Trainee

VINCI Energies

During my last internship at Vinci Energies, I was in charge of the project “Connected Construction Sites". The goal was to develop an application for computer and tablet.

I have done the following tasks :
- Redacting specifications
- Risk assessment
- Cost estimation
- Purchase
- VBA programming
- Tests and Validation
- Project management
- Quality, security, environment, Standards ISO 9001, OHSAS 18001 and ISO 14001

Project selected during the Challenge Stage 2015

- Development of a software with VBA
- Ranked 9th out of 50 during the Innovation Challenge 2014

VBA Developer

Developing and improving of a website that centralizes different data and integrates the geolocation of companies.
- First prototype in HTML, CSS and JavaScript
- Improvement in C# and ASP.NET
- Using the SQL Server database
- Contribution to the initialization of SharePoint

Web Developer

Delphi

Affected at different workshops: loading components, drilling, intern rectification and deburring under high pressure.

- Minor repairs of industrial robots
- Statistical Process Control
- Reporting

Operator

Looking for a job in Tech ? 
Discover our own "ChatGPT" for tech recruiting : 

https://www.thanks-boss.com/

Candidats : 
- vous avez du mal à trouver le bon job dans la tech ?
- vos critères ne sont pas pris en compte ?
- vous êtes fatigués de renseigner des tonnes de formulaires ou de passer des entretiens sans trouver la perle rare ?

Notre IA développée en interne ressemble à un chatgpt spécialisé dans le recrutement et saura prendre en compte tous vos besoins pour vous décrocher le meilleur job !

Plus d'infos ici : https://www.thanks-boss.com/?utm_source=link&utm_medium=xp&utm_campaign=pre_launch&utm_id=c2

Warsaw University of Technology

cognitivX S.A.

Research and Development of a new pipeline for object detection in stores: Final software was applied to embedded devices where all the data for analytics purposes was sent to the cloud. My work was to research, present, discuss, and implement the pipeline for the whole process beginning from choosing and creating a dataset as well as choosing the Deep Learning architecture and training it with optimization and conversion for embedded device:
 
- Researching and developing the object detection deep learning pipeline
- Working in accordance with agile methodologies
- Creating software for the end product on embedded device
- Creating dashboards for maintenance and visualization purposes
 
Technologies: Python, Deep Learning, Computer vision, Git, Jira, Grafana, Dash, Deepstream, Docker, Azure

Data Scientist / Machine Learning Full Stack

I am a student with a master's degree in computer science with specialization in artificial intelligence. During my 5 years of studying, I focused on machine learning, more specifically computer vision after the first two years. At that time, I started working for a company where I was put in charge of developing a new pipeline for object tracking. Those three years showed me what I want to do for the rest of my life - develop new solutions in the field of AI. During my studies, I was taught how all the life cycles of the machine learning pipeline should look and work starting from annotations up until the implementation with the popular tools. At work, I could check my knowledge and upgrade it due to the natural causes of the work environment. When developing a pipeline for object tracking, I participated in the planning and creation of a new dataset, researching the best technology for project purpose, and training and validation on a dataset. At the end, I would also implement a model on the embedded device and made some cool visualizations. I love what I do, but I am also a very sporty guy. I like working out, running and of course I love to watch and play football.

What I value the most in work is the openness for discussion on new solutions, clear communication, and a good work ethic.

taplio

The Battle

Florentin DAM

Vladimir Zaigrajew

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