• Developed and optimized low-latency trading infrastructure, including:

• Market data feed handlers to process real-time quotes and trades across multiple exchanges.

• Order entry gateways enabling efficient, high-throughput trade execution.

• Drop copy servers to provide clients with compliant trade and risk reporting.

• Implemented these systems using FIX, SBE, and proprietary binary protocols to ensure ultra-low latency, interoperability, and reliability.

• Supported diverse exchanges and asset classes, with a focus on scalability and performance in high-frequency trading environments

• Image Processing R&D

• Design and implement image processing algorithms in large-scale distributed image processing pipeline using C++

• Create various python scripts to monitor AWS expenditure.

• Improved AWS deployment architecture, reducing cost by over $1,000,000 YoY

• Network Simulator built in C++ to evaluate and develop new mesh

network algorithms

• FTP & Remote Firmware functionality developed in C for existing

FreeRTOS application on custom board with Zynq 7020

• Develop Python scripts to perform utility functions. UI for node

management and visualization. Read and decode data from GPS

and display it on a graph. Test different binary protocol

implementations

• Worked on developing RESTful API for new image processing pipeline

• Wrote AWS Lambdas to propagate information between image processing applications

• Developed new Jenkins jobs to automate tedious tasks

• Created and maintained infrastructure in AWS

• Wrote Terraform and Puppet modules to enhance infrastructure security