With over 10 years of experience in Artificial Intelligence, our mission is to deliver personalized, high-impact AI solutions. Our team of experts brings extensive expertise in MLOps and AI strategy, working closely with clients to design and implement innovative solutions precisely tailored to their needs.- Gather a team of top AI experts- Develop cutting-edge solutions across various sectors to drive real-world impact- Define custom AI products that address specific challenges and goals for our clientsOur goal is to make AI accessible, practical, and transformative for every business we partner with.

Indra is one of the leading global technology and consulting companies and the technological partner for core business operations of its customers world-wide.- Migrate ML stack from on-premises to GCP✓ Vertex AI, GCP, GCS✓ Kubeflow, Kubernetes✓ Terraform, GitHub Actions- Build & maintain Computer Vision modelsObject detection, Optical Character Recognition (OCR), image classification, image rotation✓ PyTorch, EasyOCR, Yolo, Tesseract, FastAI- Develop & maintain NLP models (Word2vec) on large text corpus✓ Vector database (Milvus)✓ Python, Kubeflow, Ray, Aiohttp, Kubernetes, Jenkins✓ Word2vec, nltk

✓ Cloud computing, Distributed systems, Statistical applications✓ AWS Educate, AWS EMR, Spark

OCTO Technology is a consulting firm specializing in new technologies and the digital transformation.∎ Develop an AI platform- Analyze, plan and define AI architecture framework- Translate business requirements into AI components- Collaborate closely with stakeholders and other teams- Foster best practices (documentation, communication...)∎ Build a real-time recommendation system✓ Recommender systems, Logistic Regression✓ Google Analytics✓ Vertex AI, BQML, BQ, GCS✓ GCP, Cloud Run, Cloud SQL, Terraform, GitLab

Tinyclues is a Campaign Intelligence solution that enables B2C marketers to focus on strategy and deliver on their business goals, by offering them a unique targeting & planning experience powered by deep learning.∎ Team Lead Machine Learning- Define vision, objectives and key results- Collaborate closely with stakeholders and other teams- Accelerate and manage the delivery- Foster best practices (documentation, communication...)∎ Develop and maintain the predictive stack✓ Recommender systems , Model calibration, Hyperparameter Tuning, Feature selection, Deep Learning, Logistic Regression✓ Airflow, Kubeflow, ✓ Kubernetes, Apache Spark∎ Migrated the ingestion stack from AWS to GCP✓ DBT, BigQuery, Elasticsearch✓ Airflow (Composer), Serverless✓ Python, Terraform∎ Migrated the predictive stack from AWS to GCP✓ Python, Tensorflow, TFX✓ AI Plateform, Vertex AI, Dataflow✓ Terraform∎ Implemented Release Management Process✓ Docker, CI/CD, Circle-ci, Git Flow

Heetch is a French transportation network company offering ridesharing services, operating in Europe and Africa. ∎ Actively participated in the data team structuration from 2 to 15 persons, including data engineers, analysts, scientists and leads. ∎ Built the Data Engineering team- Collaborated closely with the CTO- Advocated for data engineering and shaped a vision around it- Cooperated with the hiring team to set up the recruitment process ∎ Data Science Marketplace: Designed and implemented core algorithms that match user requests and drivers.- Built a simulator to be able to test expert algorithms- Designed and implemented data science models to improve the matching system- Created data visualization to analyze the marketplace health especially funnels, Sankey diagrams, and heatmaps- Implemented regression tests- Developed the data pipelines to analyze marketplace health✓ Go, Python, R, Logistic regression, Apache Spark, AWS SageMaker ∎ Tracking: Designed and developed scalable event-driven tracking systems. Helped the data team to analyze new features.✓ Apache Spark, Kafka, S3, Redshift, AWS Glue∎ Data Platform: Designed and implemented a Job Scheduler (including infrastructure, CI/CD, training and support). Created generic tools to help the data team to build data pipelines.✓ Apache Airflow, Docker, Python, Celery, ECS, Terraform ∎ Data Platform: Set up a Scala microservices framework to allow the data team to implement data-based services.✓ Kafka Stream, Mesos, Marathon ∎ Developed a segmentation model to build operation campaigns on the customers. ✓ Regression, HCA, R

Marketing and advertising consulting company ∎ Improved the quality of prediction of an Elastic net regression algorithm✓ Scala, Spark, HBase, Linux, Sbt✓ Discretization algorithm, HCA, K-Means, MDLPC, regularized regression∎ Implemented a Big Data architecture for real-time recommendation ✓ AWS, ElastiCache, In-memory database (REDIS), Serverless, AWS Lambda✓ Contents based recommendation, ranking∎ Implemented a Big data architecture on the cloud to treat big data ✓ AWS, Redshift, Athena, S3, PostgreSQL∎ Created a geo-marketing environment✓ Python, Spatial database (PostGIS), cartography software, Docker∎ Implemented a Bayesian optimization for Bayesian optimization for Hyper-parameter tuning✓ Gaussian Processes, Python, Scala, Spark

Reduced the miscounts of a new video analysis software of crowd measurement ✓ Regression, error-correction model, Time series, video analysis, detection tools.✓ R, Microsoft Access

Established an online management platformTasks :- Created the data base- Installed the WordPress platform- Trained the staff to use the tools