• Designed and implemented Computer Vision Pipeline for Gnosis MEP engine in Python, Redis Streams, Docker.
• Assisted in scientific research for building Complex Event Patterns (CEP) in Data Streams. Worked on individual problem sets.
• Worked alongside Research Fellows, Postdoctoral Researchers and PhD students on design challenges and refining CEP work problems.
• Collected and studied large scale video datasets. Performed manipulating, processing, and extracting value from these datasets. Ran Image Processing models to analyse the accuracy and prepared ground data - TensorFlow/Keras.
• Adopted efficient microservices architecture to execute ML pipeline on the streaming multi-modal data.
• Designed benchmarking platform for a CEP Pipeline that includes Object Detection, Object Tracking and Annotation via Jaegar/Python.
• Modelled data obtained through the CEP pipeline into a Knowledge Graph through spatiotemporal relationships.
• Designed a matching engine for video querying that uses an openCypher query to explore Knowledge Graphs.
• Paper on Query Driven Urban Accessibility using complex event processing accepted in ACM Multimedia 2021.
• Assistant Chair and co-organiser for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland, December 5-6, 2019.

Technologies: Python3, TensorFlow, Pytorch, Docker, RedisGraph, RedisStreams, DNN models.

• Member of the Design Team that created technology stack for a risk interface application that monitors risk exposure in real-time for Eurex Exchange T7.
• Led a team of associates to critical deliveries. Leveraged strong expertise in solving and identifying bugs while working with production support.
• Worked closely with Business Analysts in mapping the business requirement with the Physical Data Model.
• Developed AMQP interfaces to different cross-platform business entities and facilitated data exchange using Google Protocol Buffer (GPB).
• Architect a state-of-the-art Cash Payment System (CPS) for Eurex Trading Platform T7. It offers a high degree of flexibility in terms of processing trades, payment locations, message formats and cross-currencies transactions. Created chained transaction handling using Spring Transaction Management.
• Developed SWIFT message simulator in Spring Boot that performs load testing on thousands of concurrent payment instructions.

Technologies: Java8, EJB3, Python3, Spring Boot, Hibernate, Apache Qpid, Jboss7, PostgreSQL, Git, Maven, Protocol Buffers.

• Gained functional knowledge while working with legal, compliance and lending team on credit approval workflows and lending practices.
• Optimized Citigroup’s Risk Management Business workflow using TIBCO iProcess and Spring Scheduler.
• Enhanced UI response rate and operational efficiency of the platform by eliminating legacy codebase.
• Working on Design Patterns, Unit Testing, Refactoring, Code structuring.

Technologies: Java1.6, Adobe Flex, Spring, Hibernate, IBM Websphere, Oracle 10g, Git, Maven, HP Load Runner.