- PICOSenior Big Data EngineerFebruary 2020 - Today (5 years and 3 months)Co. Dublin, IrelandWorking alongside Engineers in the Big Data team, I design, develop and integrate new capabilities into the Big Data platform• Develop applications to provide insights for trading data (order entry, market data, etc.)• Working as a domain expert to advise and troubleshoot production deployments• Collaborating with the Machine Learning team to integrate new algorithms into the platform
- Adaptive Mobile SecurityData Intelligence Software DeveloperSeptember 2018 - January 2020 (1 year and 4 months)Dublin, IrelandWorking directly with CTO to tackle key strategic Data challenges for the company, and integrate in-house algorithms into the product. Achievements include work on Simjacker vulnerability, as well as 5G-readiness- Consolidate company's data processes, data analysis and extraction of business-critical Intelligence from data. Prototyping and integration into product.- Data Engineering and Management: Collecting data from various databases, streams and other sources including Wireshark captures, house it on company cloud/ SQL database / HDFS. Data analysis using Hive / Impala, Spark, Dask. Connect to visualization tools. Configuration and maintenance of Hadoop / Spark / Hive stack.- Anomaly detection and Rules Mining: Formulate the signaling security problem as an anomaly detection problem, use machine learning frameworks to extract useful information and narrow focus of analysts on potential threats.- Security research and prototyping: Working mainly on Signaling security for SS7 protocols
- AccentureAdvanced Analytics and Artificial Intelligence Innovation AnalystOctober 2016 - September 2018 (1 year and 11 months)Co. Dublin, IrelandBuild Proofs of concepts for clients in the Travel, Defense and Manufacturing industries.• Deep Learning and Computer Vision: Design solutions using Python, Tensorflow, C++ and Darknet for a variety of projects in Computer Vision projects including Satellite images, Quality Control and Surveillance. Helped spreading the knowledge by giving two hands-on lectures about Neural Networks.• Programming: Deliver scalable, efficient code in several languages. I perform most Data Analysis, Machine Learning and Deep Learning tasks in Python. I developed some web apps in Node.js and Javascript (including a chatbot and a frontend for Pose Detection app). I also put my Java and C++ code in NLP/AI related hackathons. Work with AWS and Docker to deploy a code base.•Team work: Work with people whose skills range from User Experience Design to Finance. During projects I make sure everyone understands the constraints with the different fields of AI and Machine Learning.
- Master's degree, Computational and Applied MathematicsKTH Royal Institute of Technology2016Master's degree, Computational and Applied Mathematics
- Engineer's Degree, Computational and Applied MathematicsUniversité catholique de Louvain2015Engineer's Degree, Computational and Applied Mathematics
- Bachelor's Degree, Applied MathematicsUniversité catholique de Louvain2014Bachelor's Degree, Applied Mathematics