Developed and implemented test protocols for MRI subsystems (RF, GPA, SDR, PLC), improving consistency, test coverage, and repeatability

Collaborated with hardware engineers to investigate PCBA failures, implement corrective actions, and strengthen design testability

Automated firmware/software deployment and validation pipelines using CI/CD tools like Jenkins and Git to maintain consistent test environments

Authored weekly metrics decks with visualizations and concise narratives; facilitated cross-functional readouts and decision tracking

Analyze and enhance the efficiency, stability, and scalability of system resources, ensuring optimal performance of neuro42’s MRI technology

Design, develop, test, and debug system software, supporting software QA and optimizing I/O performance for accurate and rapid MRI data processing

Interface with hardware design and development teams to integrate embedded software seamlessly with neuro42’s advanced imaging hardware

Develop infrastructure for the secure transmission of sensitive clinical data to the cloud, ensuring compliance with healthcare data regulations

Support engineering teams by developing automation and test tools, enhancing the development life-cycle and ensuring the reliability of neuro42’s MRI systems

Defined test strategy, detailed test plan/protocol for new Hardware designs or value added engineering projects

Created test plans based on requirements in order to test the specific hardware modules

Developed and executed test protocols, document test results based on test purpose and system under test

Assisted in evaluation of electronic circuits and RF boards

Conducted failure analysis to troubleshoot failed units from field and factory tests in a lab

Ingested a diverse range of educational resources into Elastic Search, optimized vector embeddings, and implemented Retrieval Augmented Generation (RAG) technology to enhance the chatbot’s knowledge base. Ensured seamless integration with Elastic Search for efficient content retrieval