sharon pery

I hold a BSc in Biomedical Engineering from Tel Aviv University, with a focus on signal processing. My academic and professional experience in this field includes working on innovative projects such as the design of a peripheral infusion catheter, which improved intravenous drug release kinetics. This project was published in a peer-reviewed journal.

During my time as a research engineer in the medical device sector, I played a key role in the development, integration, and testing of medical systems. I worked closely with clinicians to optimize the usability of devices and contributed to the development of invasive medical technologies for treating pulmonary arterial disease. My work included data analysis, experimental design, and software development for medical applications.

I have foundational experience with UNIX and Linux operating systems, gained through my academic work and personal projects. I have used Linux for programming tasks, managing file systems, and running various development environments. I am familiar with common UNIX/Linux commands, shell scripting, and basic system administration tasks such as managing processes, permissions, and networking configurations.

In my projects, I have worked in a Linux environment for software development tasks using languages like C, Python, and Java, ensuring efficient execution of multi-threaded applications and handling memory management. While I am still expanding my expertise, I am eager to deepen my knowledge and apply these skills to real-world projects that involve working in UNIX/Linux environments.

I have hands-on experience with MATLAB, primarily gained during my academic projects in Electrical Engineering with a specialization in Data Science. I have used MATLAB extensively for developing algorithms, analyzing data, and performing simulations, especially in the fields of signal processing and image processing. My work included tasks such as processing medical images, developing algorithms to enhance image quality, and analyzing clinical trial data.

In addition, I utilized MATLAB for numerical computing and prototyping, which helped in quickly testing and validating algorithmic approaches. My experience with MATLAB has provided me with a strong foundation in utilizing its extensive toolsets for data analysis, visualization, and algorithm development.

I have over 4 years of experience in project management, primarily in the medical device industry. In my role as a project manager, I successfully led cross-functional teams and oversaw the development of both hardware and software projects. I managed the entire project lifecycle, from planning and resource allocation to execution and delivery, ensuring projects were completed on time and within budget.

My experience includes using tools such as Jira for tracking progress, managing sprints, and coordinating tasks. I was responsible for defining project goals, setting timelines, and ensuring all stakeholders were aligned with project objectives. Additionally, I managed the development and implementation of new systems, including a new GUI for operational systems, and delivered training programs for end-users.

I have foundational experience in artificial intelligence, primarily gained through my MSc in Electrical Engineering with a focus on Data Science. During my studies, I worked on several projects where I applied basic machine learning models and AI algorithms using Python. I have hands-on experience with popular AI libraries like TensorFlow and scikit-learn for tasks such as data analysis and building simple predictive models.

I have used AI techniques in projects like image processing and data analysis, where I contributed to improving accuracy by implementing pre-built models and tuning them for specific tasks. While I am still building my experience in AI, I am eager to learn and apply more advanced techniques in real-world projects.

I have foundational experience in image processing, primarily gained during my MSc in Electrical Engineering with a focus on Data Science. Throughout my studies, I worked on various projects where I developed and implemented basic image analysis algorithms using tools such as MATLAB and Python. My work involved enhancing image quality, extracting features, and applying filters, particularly in medical imaging, where precision is important.

I have also had hands-on experience processing image datasets and applying signal processing techniques to improve image clarity. I am eager to apply and expand my skills in real-world image processing projects, learning more advanced techniques and contributing to the success of larger development teams.

I have experience in computer vision, primarily gained through my academic studies and hands-on projects during my MSc in Electrical Engineering with a specialization in Data Science. I worked on developing algorithms for image processing, utilizing tools such as Python and MATLAB to analyze image datasets. My work included enhancing image clarity, extracting meaningful features, and optimizing image analysis processes.

I applied computer vision techniques to process medical imaging data, contributing to clinical trials and research projects where accurate image interpretation was critical. My understanding of signal processing, combined with machine learning models, allows me to develop efficient solutions for tasks involving image recognition, feature extraction, and real-time data analysis.

I have extensive experience using Jira as a project management tool during my work as a project manager in the medical device sector. I used Jira to efficiently track project progress, manage tasks, allocate resources, and ensure that deadlines were met. My experience includes setting up sprints, monitoring team workflows, and managing backlogs for hardware and software development projects.

In addition to task tracking, I utilized Jira for issue resolution, ensuring that bugs and challenges were quickly addressed. I also created detailed reports and dashboards to provide stakeholders with clear insights into project status, enabling data-driven decisions and improved collaboration within cross-functional teams.

I have a solid background in both C and C++, gained during my academic studies and hands-on projects. Through my MSc in Electrical Engineering, I acquired a deep understanding of C programming, particularly in areas such as memory management, multi-threading, and performance optimization. I have worked on developing low-level algorithms, focusing on efficiency and optimization for real-time systems.

Additionally, I have experience in C++ from previous projects, where I applied object-oriented programming principles, handled complex data structures, and implemented algorithms for system-level applications. My understanding of both C and C++ allows me to develop high-performance code for a variety of software development tasks, making me well-equipped to contribute to projects requiring low-level programming skills.

I have developed strong proficiency in Java through both academic projects and hands-on experience. I have worked on implementing object-oriented design principles and building applications that emphasize clean code and maintainability. My experience includes writing algorithms for tasks such as sorting and caching, as well as developing multi-threaded applications using Java’s concurrency utilities (java.util.concurrent).
I am familiar with design patterns like Factory and Command, which I applied to improve the flexibility and scalability of my applications. I’m eager to further develop my skills in Java by contributing to real-world projects, enhancing both my technical capabilities and problem-solving skills.

With a strong foundation in software development, I have experience in programming languages such as Python, Java, C, and C++. I have worked on various projects that involve algorithm development, data analysis, and application design. My academic background in Electrical Engineering with a specialization in Data Science has equipped me with solid problem-solving skills and a deep understanding of software development principles.

I have experience in both object-oriented programming (OOP) and procedural programming, and I am skilled in writing clean, maintainable code. I have experience with version control (Git), testing, and software documentation. I am eager to continue honing my software development skills and contribute to impactful projects.

I have a strong foundation in data science, gained through my MSc in Electrical Engineering with a specialization in Data Science and Machine Learning. Throughout my studies, I have worked extensively with data analysis tools such as Python and MATLAB, gaining hands-on experience with machine learning frameworks. I have developed algorithms, conducted advanced data analyses, and worked on projects involving large datasets, focusing on improving predictive accuracy and deriving actionable insights. My academic background has provided me with expertise in statistical modeling, data mining, and big data processing techniques, preparing me for real-world applications in BI, data science, and big data projects.

I have extensive experience with Python, gained through both academic and professional work. During my MSc in Electrical Engineering with a specialization in Data Science, I utilized Python for a wide range of tasks, including data analysis, machine learning model development, and algorithm optimization. I have worked on analyzing clinical trial results, creating image processing algorithms, and performing data manipulations with libraries such as Pandas and NumPy. Additionally, I have applied Python to automate tasks, process large datasets, and build predictive models, giving me a solid understanding of Python’s versatility in both research and development environments.

During my MSc in Electrical Engineering with a specialization in Data Science and Machine Learning, I have gained significant experience in developing algorithms for data analysis and signal processing. My work has included designing and implementing algorithms for image processing using MATLAB, optimizing clinical trial data analysis with Python, and applying machine learning techniques to enhance predictive models. In my final project, I developed a novel algorithm for peripheral infusion catheter design, which improved drug release kinetics and was published in a peer-reviewed journal. This academic and practical experience has equipped me with the ability to tackle complex problems and develop efficient algorithms for various applications.

With over 4 years of project management experience in the medical device sector, I have successfully led cross-functional teams, managing hardware and software projects from concept through implementation. I have extensive experience in defining user requirements and integrating system features, particularly in developing and implementing new GUIs for operational systems. My background includes coordinating hardware and software upgrades, ensuring seamless integration, and delivering high-quality results within time and budget constraints.

I played a key role in system and product development, driving process improvements, optimizing clinical usability, and ensuring successful system integration and testing. Additionally, I have authored comprehensive Software Requirements Specifications (SRS) and System Design Documents (SDD), providing a clear roadmap for development and facilitating efficient collaboration between teams. My hands-on experience with project management tools such as Jira helped streamline project tracking and resource allocation. Furthermore, I have developed and delivered training programs for end-users, ensuring smooth adoption and usage of new systems.