Yann Landrin-Schweitzer

Founder @Absalia

Berlin, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2020 — Present

Founder @Absalia

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Berlin, DE

Centrally managed metadata and privacy controls, for *your* IT landscape.

EDUCATION

2000 — 2003

Paris-Sud University (Paris XI)

PhD, Artificial Intelligence

1996 — 1999

ENSTA

Engineer, Network Security, Artificial Intelligence

1998 — 1999

Pierre and Marie Curie University

MS, Artificial Intelligence

1997 — 1998

Pierre and Marie Curie University

MS, Applied Mathematics

SKILLS

NosqlPythonCluster AnalysisArtificial IntelligenceAmazon Web Services (Aws)Machine LearningBig DataLambdaAntContinuous IntegrationAlgorithmsContinuous DeliveryJenkinsTddSoc2KinesisData AnalysisCassandraNeural NetworksFlumeRecommender SystemsSocial MediaMarkov ModelsSparkData OperationsBig Data AnalyticsGenetic AlgorithmsApache IvyLinuxBayesian StatisticsStatistical ModelingBusiness Continuity PlanningScalabilityAwsJavaMesosGdprData PrivacyNatural Language ProcessingHive

ABOUT YANN LANDRIN-SCHWEITZER

Since recruiters apparently can\'t read all the way down to the bottom of my profile- I AM NOT INTERESTED in IC POSITIONS, or positions in the US or the Middle East- I AM NOT INTERESTED in ANY candidate you send me unprompted- I will NOT connect with you so you can \"expand your network\", I only connect to people I have worked with-Strategic leader, people and tech architect, with a focus on AI and data operations at scale, machine learning and data analytics applications, data privacy and compliance.Builder and grower of teams that create technology to make great products even better.Leadership skills- Technology and people strategy, transition, and future-proofing- Risk, velocity and cost control on large, matrixed software projects- Data and engineering quality and delivery management- Team and culture development in skill-scarce environments- Privacy, security and compliance in complex data environmentsDomain specialties- Big Data, data platforms, analytics and machine learning- Privacy, compliance, data protection- Distributed, real-time, asynchronous systems- Scalable and massively parallel application development- Fast, small-footprint, concurrency-safe data models- Static and dynamic optimization, numerical methods- Knowledge extraction, data modeling, data analytics, recommender systems- AI & ML: neural networks, genetic algorithms, bayesian inference, computational linguisticsTechnologies- AWS S3, EC2, ECS, EKS, Lambda, CloudWatch, CloudFormation, Kinesis, EMR, Glue, Athena, SageMaker- GCP GKE, DataFlow, DataProc, BigQuery, DataStudio, Collab, KubeFlow, AutoML- Spark, Airflow, Hadoop, Oozie, Hive, Pig, Kafka, Flume, Storm, HBase- Python, SciPy, NumPy, PySpark, Pandas, DBT, CUDA- C, C++, JAVA / JVM, JMX, Ant / Ivy, Maven, SVN, Git, Jenkins- Tomcat, Jetty, Spring, REST, JSON, Avro, Thrift, Protobuf, Swagger/OpenAPI, Node, Vue- MySQL, Cassandra, MongoDB, Redis, Neo4j, Dex, MemcacheOpen to discuss strategic opportunities in Asia and Europe, and strategic partnerships in the space of data and privacy.Recruiters, that means I AM NOT interested in IC roles, or roles in the US, South America, or the Middle East.Vendors, that means I AM NOT interested in buying your solution. In fact, I think you should come and buy mine instead.Random contacts, that means I WILL NOT add you to \"just expand my network\", we would need to interact and know each other first. Please learn the difference between LinkedIn and Tinder.

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Yann Landrin-Schweitzer — Founder at Absalia in Berlin, DE | Unifers