Florentin DAM

Thanks-Boss

Candidats : 
- vous avez du mal à trouver le bon job ?
- 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

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

SaH Analytics International

• Led and developed multiple end‐to‐end ML/DL solutions (computer vision, NLP/GenAI, fraud detection), applying MLOps best practices.
• Satellite imagery analysis with computer vision: Designed, trained and optimized deep models for object detection, segmentation, change detection and land-cover classification from satellite images.
• Fraud detection: Partnered with Protegrity to build secure, privacy-preserving ML models for fraud detection.
• LLM development: Fine-tuned and deployed large language models using techniques such as instruction tuning, QLoRA, RLHF/PPO, DPO and ORPO.
• Agentic multimodal RAG pipeline: Implemented a retrieval-augmented generation system for text-based video interaction, leveraging multimodal embeddings, chunking, vector DB querying, re-ranking and function calling.
• APIs & UIs: Built robust REST APIs (FastAPI) and user interfaces (Gradio, Streamlit) for optimal UX.
• Workflow automation: Implemented CI/CD pipelines with GitHub Actions and automated ML workflows.
• Containerization & cloud deployment: Used Docker/Docker-Compose for scalable, resilient production deployments on GCP.
• Experiment tracking & monitoring: Adopted MLflow/ClearML for experiments and Prometheus/Grafana for production monitoring.
• Engineering best practices: Enforced coding standards, peer reviews and maintainability.
• GCP resource management: Administered cloud resources for training and deployment.
• Leadership & mentoring: Supervised ML engineer interns and delivered ML training sessions to clients and partners.
• Technology watch: Monitored advances in deep learning and generative AI.

Tools: PyTorch, Hugging Face, TorchGeo, transformers, YOLO, U-Net, ViT, Mask R-CNN, Detectron2, Ollama, Gemini, Llama, Mistral, Whisper, LangChain/Llamaindex, XGBoost, CatBoost, Random Forest, PyCaret, Poetry/UV, Git/GitHub, Docker, CI/CD, MLflow, ClearML, FastAPI, Streamlit, Gradio, Vertex AI, GCP, Open-webui.

Senior Machine Learning Engineer

Monk AI

Computer Vision R&D Engineer 

IFP Energies nouvelles

Machine Learning Research Engineer 

- Processed data for object detection tasks (Bounding box annotation, Putting annotations in the right format (YOLO, COCO or PASCAL VOC), anchor boxes generation using k-means).
- Benchmarked State-of-the-Art deep learning algorithms for object detection and segmentation.
- Developed a deep learning model for automatic image cropping.
- Developed a deep learning model for detecting small objects (Foraminifera) in geological images.
- Developed a deep learning model for instance segmenting rocks from images.
Tools : YOLO, RetinaNet, faster R-CNN, mask R-CNN, Cascade R-CNN, pytorch, detectron2, Microsoft VoTT, pytorchcv, keras, tensorflow, opencv, scikit-image

Deep Learning R&D Engineer - Computer Vision

Safran Aircraft Engines 

- Developed a probabilistic software for the quantification of uncertainties related to mechanical clearances in aircraft engines.
 - Deployed the software.
Tools : statistical modeling, regression, parametric and non-parametric density estimation, hypothesis testing, bootstrap, python, sklearn, numpy, pandas, Plotly Dash.

Internship in Probability & Statistics

Anacours

Private Tutor in Mathematics

Applied AI & ML Engineer with a PhD in Mathematics & CS and 5+ years of hands-on experience designing, deploying and scaling production-grade ML solutions (computer vision, NLP/GenAI, fraud detection). Proven track record partnering with cross-functional operations teams to translate complex datasets into predictive models and automated decision services. Proficiency in Python, MLOps (CI/CD, Docker, Docker-Compose, MLflow), financial-driven analytics, and clear communication of AI insights to non-technical stakeholders. Results-driven, client-focused, and adept at working in agile teams.

taplio

The Battle

Florentin DAM

Abdoulaye KOROKO

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