Python Veteran. Managed python2 to python3 upgrade for Trading Application. Experienced in Object Oriented Programming and familiar with SOLID principles

Created Microservice application and applied design patterns when building proprietary trading application. Builder and Factory

Used Linux and Bash widely when migrating from Solaris to Linux, and during my times as DevOps engineer providing L2 Support for Credit Trading Desk

Used SQL frequently when generating finance(PL, PL Explain) and risk(IR Delta, VaR, JTD) reports, doing joins across tables for aggregation

Familiar with qurerying and using aggregations for retrieve documents when designing proprietary trading application

Used Groovy and Jenkinsfile for CICD of docker images, and also to create microservices on Redhat Openshift

Led project to decommision On-prem Solaris servers and migrated to Linux with the use of docker containerization for batch reporting and to host UAT environments

Piloted a model to obtain sentiment analysis, topic modelling of Credit Trading News that could be used as inputs to downstream algo trading model

Worked on projects related to NLP, Recommendation systems, Applied Machine Learning during my masters at SMU. Favourite equation is the Markov Decision Process about how we make optimal decisions.

Familiar with setting up Kafka on Springboot both as publisher and consumer for streaming data

Used Spring Boot heavily to host microservies for Propreitary application. Adopted factory design and builder design patterns when designing REST/CRUD applications

Adopting use of Kubernetes in distributed computing to host Spark, YARN for heavy computation of training machine learning models