- Designed and built a generic gRPC API framework to generate custom endpoints. This reduced the time to create a new endpoint from 2 weeks to 1 day.- Airflow DAG for publishing custom Prometheus metrics to power alerts for data replication pipelines.- Built data replication pipelines to sync Postgres and Elasticsearch via Kubernetes cron jobs.

Data Engineer Role:- Ingesting Data Pipelines Into a Data Lake- Writing Airflow DAGs- Writing Spark Jobs

- Bi-Directional Sync APIs- Kotlin, Spring, Kubernetes, RabbitMQ, Postgres

+ Created Machine Learning models for web information extraction+ Created low false-positive record linking models running over 500 million entities+ Architected a knowledge graph construction pipeline+ Built user interfaces for gathering training data+ Designed query language and wrote scala parser for querying the knowledge graph

+ Supported the NLP/IE Research projects at the Turing Center in the Department of Computer Science.+ Leveraged the Open Information Extraction framework for development of Knowledge Base Population systems for entity linking and slot filling for submission to TAC 2013+ Experience with Stanford CoreNLP API for NLP applications development.+ Designed internal distant supervision framework

+ Worked with Apache Hadoop, Accumulo, Pig, and Giraph technologies to implement and evaluate graph algorithms on large datasets.

+ Created well-planning GUIs in C#

GIS analysis and map digitalization.