Chittaranjan Sethi
Staff Software Engineer @GE HealthCare
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WORK HISTORY
Staff Software Engineer @GE HealthCare
Waukesha, WI, US
Translate system architecture and product requirements into well-designed C++ software components for ultrasound systemsOwn the end-to-end implementation of individual software components with strong emphasis on quality, test-driven development, and maintainabilityParticipate in and influence software architecture and technical design reviewsConduct peer code reviews and provide technical guidance to ensure high engineering standards across the teamDesign, implement, test, deploy, and maintain software solutions to improve performance, reliability, cost, and securityCollaborate closely with cross-functional partners including product, systems, and clinical stakeholdersApply software engineering best practices and data-driven problem solving to identify root causes and deliver scalable solutions
EDUCATION
Kendriya Vidyalaya
Secondary & Senior Secondary Education, General Education with Science (Class I–XII)
Biju Patnaik University of Technology, Odisha
Bachelor's degree, Computer Science And Engineering
ABOUT CHITTARANJAN SETHI
Staff Software Engineer with 15+ years of experience designing, building, and sustaining complex, production-grade systems across healthcare, industrial automation, and telecom. Currently working at GE HealthCare, translating system architecture and product requirements into high-quality C++ software for ultrasound platforms, with ownership across design, implementation, testing, and long-term maintainability in regulated, performance-critical environments.Strong hands-on expertise in C++, Python, Node.js, Angular, Nginx, Apache, Bash, SQL, Unix/Linux, etc environments. Proven experience in embedded systems, backend services, system integration, and test automation, with a consistent focus on performance, reliability, and software quality. Regularly contribute to architecture and design reviews, apply test-driven development practices, conduct code reviews, and improve shared platforms and core components used across teams.Career includes long-term contributions at GE HealthCare across X-ray, MRI, and Ultrasound platforms, delivering safety-compliant and performance-sensitive medical device software. At Johnson Controls, owned end-to-end development of factory technology systems, including architecture, implementation, and delivery of scalable, automated test and validation platforms used in production environments. Earlier experience at AT & T involved building distributed backend systems, analytics pipelines, and Linux-based platforms operating at scale.Experienced in designing and consuming analytics and telemetry pipelines for diagnostics, performance analysis, anomaly detection, and data-driven decision-making using Python-based tooling, metrics, and logs. Increasingly focused on practical applications of AI and machine learning, including data preparation, feature extraction, model integration, and inference workflows within existing systems. Interested in applying AI/ML to image analysis, predictive diagnostics, intelligent automation, and factory analytics, with strong emphasis on safety, correctness, and explainability.Known for deep technical ownership, cross-layer problem solving, and mentoring engineers across globally distributed teams. Seeking Staff or Senior Staff roles where architectural influence, hands-on execution, and applied analytics and AI/ML contribute directly to long-term product and platform impact.
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