With funding from the European Commission, H2020 programme, 19 organisations from 11 EU Member States including SMEs, NGOs, and industrial, research and academia entities, along with six public law-enforcement agencies in the domains of justice, police and interior security, on May 1, 2021 started a three-year project for supporting the fight against radicalisation and thus preventing future terrorist attacks.

Under this project, an open platform for analysis and early alert – the CounteR solution – will be launched, collecting and analysing data from dispersed sources in order to predict critical communities at risk of radicalisation and violent extremism and aid law enforcement to more easily detect radicalisation processes. The system aims at supporting the fight against organised (cyber) crime and terrorism threats and at fostering information-sharing and collaboration between diverse European agencies in charge of countering radical propaganda, fundraising, recruitment, and planning of terrorist acts. The CounteR project will develop a tool for taking down quickly and accurately the terrorism content online, and, at the same time, preserve the privacy protection and data anonymisation of the content.
The system will incorporate state of the art NLP technologies combined with expert knowledge into the psychology of radicalization processes to provide a complete solution for law enforcement authorities to understand the when, where and why of radicalization in the community.

Smart Growth System for solutions to improve watering and plant nutrition in professional crops. The objective is:

1. Reduce water and fertilizer consumption

2. Save pumping energy and treatments

3. In addition, enhance crop production (quantity and quality).

The main goal, improve and Automate the current processes for physical and chemical soil response analysis with new IT technologies such as Big Data processing and Machine Learning. This main goal through the following sub-goals:

1. Automation of the calculation of main watering variables

2. Automatic follow up of the soil chemical behaviour, nutrient availability and nutrient leaching

3. Automatic extrapolation of watering and fertilization variables from a point to an area

4. Automatic watering and fertilization proposals to the farmers

Responsibilities:

● Plan Implement & monitor the AWS Cloud Infrastructure, build & configure the production systems, manage the updation of the server-based technologies

● Implemented a generic ETL framework with high availability for bringing related data for Hadoop & InfluxDB from various sources using spark.

● Queried and analyzed data from InfluxDB for quick searching, sorting and grouping

● Implemented various Data Modeling techniques

● Participated in various upgrades and troubleshooting activities across enterprises.

● Knowledge in performance troubleshooting and tuning Hadoop clusters.

● Applied Spark advanced procedures like text analytics and processing using in-memory processing.

● Implemented process to join data from SQL and No SQL databases and store it in Hadoop.

● Created architecture stack blueprint for data access with NoSQL;

● Brought data from various sources into Hadoop using Kafka.

● Applied spark streaming for real time data transforming.

● Created multiple dashboards for multiple business needs.

● Implemented Composite server for the data virtualization needs and created multiple views for restricted data access using a REST API.

● Devised and led the implementation of next generation architecture for more efficient data ingestion and processing.

● Created and implemented various shell scripts for automating the jobs.

● Worked with Enterprise data support teams to install Hadoop updates, patches, version upgrades as required and fixed problems, which were raised after the upgrades.

● Implemented test scripts to support test-driven development and continuous integration.

● Used Spark for Parallel data processing and better performances.

Business Case Solution to improve watering and plant nutrition in professional crops, to reduce water and fertilizer consumption, save pumping energy and treatments, and enhance crop production (quantity and quality).