●IBM Aspera Analytics

𝐑𝐨𝐥𝐞: a. Engineered and implemented a new real-time file and user permissions search platform over the entire IBM Aspera network using Elastic Search, Cassandra, Spark and Hive with more than 250 million rows of file metadata per organization.

b. Developed a data ingestion pipeline, data lake and real-time streaming metrics platform using Spark streaming, Cassandra, Kafka hence enabling customers to monitor file transfers with billing support significantly increasing subscriptions over the cloud by more than 10%.

c. Designed and implemented a Spark structured streaming application to provide a way to generate, export and schedule reports for every activity over the IBM-Aspera network.

𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Spark, Hive, Cassandra, Kafka, Elastic Search, Ruby, Scala, MySQL, REST API, Docker, Kubernetes

●IBM Aspera in IBM Cloud Pak For Integration

𝐑𝐨𝐥𝐞: Engineered High-Speed Transfer-Server admin interface for data activity monitoring and configuration platform leveraging cloud services and infrastructure(IBM-Aspera as a Software and Service).

𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞: GoLang

𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: PostGreSQL, REST API, Kafka, Cloud Services and Infrastructure, Docker, Kubernetes

●Insightly Product

𝐑𝐨𝐥𝐞: a. Developed CRM product customization which allowed users to design and create customized CRM entities.

b. Developed CRM login and authorization features for different categories of customers based on their

subscription.

c. Developed feature to customize reports with a simple drag and drop over UI.

●kefeD Project

𝐀𝐛𝐨𝐮𝐭: Knowledge engineering project aimed to extract information from the biomedical ontological database using semantic modeling and knowledge graphs.

𝐑𝐨𝐥𝐞: Designed a Knowledge Graph/Machine Learning model that currently hosts ∼100 million entries of biomedical experiments/results and provided mechanisms to populate and search the knowledge base.

Designed and implemented REST APIs in a Spring-based backend server(Spring Boot, Elastic Search) and provided an interactive UI in Polymer for creating/updating models. (http://www.iedb.org/).

Worked with Thyme leaf Spring boot application, Elastic Search/Java to process data from model using ontological semantic web modeling and Knowledge graphs.

𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞: JAVA

●Domain-Specific Insight Graph Project

𝐀𝐛𝐨𝐮𝐭: DIG is domain-specific indexing, search, and analysis system (Human trafficking system). DARPA funded project aimed to crawl, extract information from the web, organize it in knowledge graphs using ontologies, and answer questions about the (human-trafficking) domain.

𝐑𝐨𝐥𝐞: Enhanced REST APIs in Python for providing end-to-end extractions on custom data sets ∼with 18.5% latency improvement.

𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞: Python