Jose Maria Sosa Gomez

Assisted in teaching graduate-level engineering and machine learning courses, mentoring students, leading workshops (e.g., TinyML), and supporting coursework to strengthen comprehension of advanced AI concepts.

Assisted in teaching graduate-level engineering and machine learning courses, mentoring students, leading workshops (e.g., TinyML), and supporting coursework to strengthen comprehension of advanced AI concepts.
Mentored groups of 10 to 30 students on complex technical topics, graded assignments, and led supplementary instruction sessions.

Developing advanced radar signal processing and machine learning frameworks to capture and analyze physiological signals without physical sensors.
Designing intelligent monitoring systems for diagnostics, rehabilitation, and wellness assessment by integrating commercial radar technology with healthcare applications.

Leading doctoral research on AI-driven, radar-based physiological monitoring systems to enable non-contact, privacy-preserving healthcare solutions.
Developing advanced radar signal processing and machine learning frameworks to capture and analyze physiological signals without physical sensors.
Designing intelligent monitoring systems for diagnostics, rehabilitation, and wellness assessment by integrating commercial radar technology with healthcare applications.

Leading doctoral research on AI-driven, radar-based physiological monitoring systems to enable non-contact, privacy-preserving healthcare solutions.

• Developing advanced radar signal processing and machine learning frameworks to capture and analyze physiological signals without physical sensors

Contributed to multiple IT infrastructure projects, supporting senior engineers with server management, data storage, and network monitoring.
Assisted in troubleshooting hardware and software issues, documenting solutions, and ensuring smooth day-to-day operations.
Gained hands-on experience with enterprise systems and developed foundational skills in system administration and data management.

Served as a teaching assistant for graduate-level engineering courses, providing academic support to students and instructors. Mentored groups of 10 to 30 students on complex technical topics, graded assignments, and led supplementary instruction sessions to reinforce core concepts and practical applications.

• Assisted in teaching graduate-level engineering and machine learning courses, mentoring students, leading workshops (e.g., TinyML), and supporting coursework to strengthen comprehension of advanced AI concepts.

Designed and implemented radar-based sensing frameworks to capture physiological and biomechanical signals during physical rehabilitation.

Conducted applied research in radar signal processing and machine learning for healthcare applications, focusing on developing non-invasive systems to monitor and classify rehabilitation exercises.
Designed and implemented radar-based sensing frameworks to capture physiological and biomechanical signals during physical rehabilitation.

Conducted applied research in radar signal processing and machine learning for healthcare applications, focusing on developing non-invasive systems to monitor and classify rehabilitation exercises.

• Designed and implemented radar-based sensing frameworks to capture physiological and biomechanical signals during physical rehabilitation.

Designed and implemented web platforms and Android apps to improve customer engagement and operational efficiency.
Supported client projects through requirement gathering, prototyping, and performance optimization.
Applied agile methodologies to streamline development cycles and deliver solutions on time.

Developed, tested, and deployed custom websites and Android applications for major corporate clients, including Claro, Primax, and BCP.
Collaborated closely with cross-functional teams to deliver tailored digital solutions.
Supported client projects through requirement gathering, prototyping, and performance optimization.
Applied agile methodologies to streamline development cycles and deliver solutions on time.

Spearheaded the design, development, and deployment of large-scale applications leveraging Python, Java, and JavaScript, resulting in an improvement in system performance and scalability. Led a cross-functional team of engineers and data analysts to integrate machine learning capabilities into business-critical systems. Conducted code reviews, mentored junior engineers, and enhanced team’s development practices through the introduction of containerization and CI/CD strategies using tools like Docker and Jenkins. Collaborated with stakeholders and product managers to translate business requirements into technical specifications, ensuring product-market fit.

Maintained high-availability server environments to support key business operations and client services.
Implemented and administered data management systems, ensuring data integrity and accessibility for enterprise applications.

Managed critical IT infrastructure, focusing on enterprise server maintenance and corporate data management.
Ensured the reliability, performance, and security of server systems and oversaw data storage, backup, and recovery protocols.
Maintained high-availability server environments to support key business operations and client services.
Implemented and administered data management systems, ensuring data integrity and accessibility for enterprise applications.

Managed critical IT infrastructure, focusing on enterprise server maintenance and corporate data management. Was responsible for ensuring the reliability, performance, and security of server systems and overseeing data storage, backup, and recovery protocols.

• Maintained high-availability server environments to support key business operations and client services.
• Implemented and administered data management systems, ensuring data integrity and accessibility for enterprise applications.

Contributed to multiple IT infrastructure projects, supporting senior engineers with server management, data storage, and network monitoring. Assisted in troubleshooting hardware and software issues, documenting solutions, and ensuring smooth day-to-day operations. Gained hands-on experience with enterprise systems and developed foundational skills in system administration and data management.

Contributed to multiple IT infrastructure projects, supporting senior engineers with server management, data storage, and network monitoring.
Assisted in troubleshooting hardware and software issues, documenting solutions, and ensuring smooth day-to-day operations.