Kfir

Experienced in HTML5, CSS3, and JavaScript (ES6+), with strong focus on building responsive, interactive, and data-driven UIs. Developed React applications for experiment tracking, parameter selection, and results visualization, integrating REST APIs and MongoDB backends. Skilled in creating modular, reusable UI components, managing application state, and ensuring cross-browser compatibility. Proficient at translating complex data pipelines into intuitive dashboards and visualizations, delivering seamless frontend–backend integration.

Proficient in Java development with experience across backend systems, algorithms, and object-oriented applications.

Built a REST API tool integrating Java, C#, and Python with MongoDB for experiment data management
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Developed object-oriented applications, including an Arkanoid video game and computational biology projects during B.Sc. studies
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Strong grasp of design patterns, data structures, and scalable application design.

Versatile software engineer with strong foundations in Python, Java, C#, C++, R, and Bash, experienced in building scalable pipelines, APIs, and full-stack applications. Skilled in algorithm development, data engineering, and workflow automation, with hands-on expertise in machine learning integration, statistical analysis, and visualization tools. Proven ability to deliver end-to-end solutions across backend services, frontend interfaces, and research-driven projects.

Extensive experience in Python development for data pipelines, APIs, and machine learning workflows. Built modular pipelines for large-scale biomedical datasets (Cancer Research UK) and automated data processing and bias correction at Tel Aviv University. Developed REST APIs and integrated Python with MongoDB and React UIs for experiment tracking and visualization. Skilled in scientific libraries (NumPy, Pandas, Scipy, Matplotlib, Seaborn, NetworkX) and ML frameworks (TensorFlow, PyTorch, Sklearn), applying them to projects such as CNN-based lung cancer classification and computational biology models.

Skilled in back-end development with experience building REST APIs, scalable pipelines, and data-driven services. Proficient in Python, Java, C#, C++, and Bash, with hands-on work in API development (Swagger, MongoDB), workflow automation, and large-scale data processing (Cancer Research UK, Tel Aviv University). Strong background in algorithm design, database integration, and system optimization, delivering robust solutions that support data analysis, machine learning, and full-stack applications