Data Scientist
CurrentAt Nference Labs, I spearhead the development of high-performance software solutions for electrophysiology (EP) labs, focusing on cardiac arrhythmias. My role encompasses:Creating High-Performance Code: Collaborated with clinical teams to deliver high-performance, reliable code with rigorous unit testing.Optimizing System Architecture: Integrated new solutions into existing systems, continually enhancing pipeline performance.Real-Time Data Acquisition: Utilized DAQ systems (MCC, NI) and RabbitMQ for real-time data acquisition and processing.Resolving Performance Bottlenecks: Identified and mitigated performance issues, achieving a 97% improvement by converting critical functions to C++.Enhancing User Experience: Improved real-time data rendering for better user experience and decision-making.Ensuring Regulatory Compliance: Developed FDA-compliant documentation and worked with regulatory teams to secure FDA approval.