• Currenlty Working as a Backend Engineer on front office / trading systems (High Frequency andMedium/Low Latency).• Worked on Feature Engineering for Business/Client Requirements.• Level3 production support and execute IT daily change management processes within the team.• Configuring server processes and test the changes to server processes, managing Deployment of changes into production.• Implemented and Deployed the Automation Scripts which handles the enormous data on Production Servers, generates the E-mail reports, perform Auto cleanup of the Servers.• Improved the Log Replay process that helps in finding the bugs by Mimicking the Orders of Real-time Application of Prod Environment in QA. Used Jenkins pipelines and Automated scripts to bring down the execution time.• Proactively Shipping Features and Fixes to Production and Served as an on-call engineer.• Performing SDLC tasks, Code Reviews and keeping the code base reliable by Addition of Unit/RegressionTests and Creating CI/CD pipelines.

Worked on Server Graphics Products - GPUs, to develop the complete pipelines utilising different components of the H/W which includes analysing there overall performance and debug. Main focus was on compute intensive AI/ML models and optimisation.

Explored the deep learning state of the art models in different frameworks like Tensorflow, Caffe and Onnx. I mainly focused on developing the framework to validate these models using automation with scripting languages like bash, python.

Leveraging the Customer Relationship Management salesforce Utility to provide the real time solutions to client queries and handled the peers issues dynamically at a large scale. Recognized as best performer of the month too.