Team: Global Intelligence Research Center, Fireeye.

Developed product to monitor unauthorized selling of ATM cards issued by the various financial institution and their reporting to financial institution(Payment network) customers of FireEye.

Wrote generic aggregation query, later which pulls records from our data store to create the curated reports per customers, which used to send out reports to our customers every week.
Developed the code that generated charts and graphs for the card trends intel.

The technology used: Elasticsearch as a data storage technology, Python for management work, Flask for API, Php (UI).

Hands-on work: Web Scraping for the product (Data science), Data modeling, Data Indexing, Data migration, business intelligence, and UI.

Wrote Dark-elixir(Data collector) project from the ground zero and delivered end to end working product.
IOC Harvester.
Delivered the Latest malicious TTP to the Intelligence Team.

Wrote data collection tool, data models, UI, API, Business logic, Managed Lucene - Indexing process for the data inflow. Currently, there are 50 Million records managed in the system that I collected from the various Threat Intel sources.

The developed product gives full-text search capabilities and provides the results based on the user input query in to the system, also made data available through API for integrating it into the Cyware existing product CTIX.

Achieved 100% Automation for the project.

Wrote Cyware Qradar application, the developed application pulls security alerts generated on the client on-prem SEIM devices and passes this data to be further processed by client-facing application Cyware CSOL SOAR product.

Managing and working on an exciting already build 32 different projects on Microservice, API built-in python language. working on monolith to microservices-based architecture for current codes some codes are already migrated to microservices.

Python, Docker, Flask, RabbitMq