“We ignore the public understanding of science at our own peril”
I’m currently working on a non-linear drug delivery system for cancer treatment, combining SMC, ISMC, and Synergetic Controllers, and optimizing performance via a Two-Phased Genetic Algorithm.
I am a research-enthusiast and full-stack software developer, with a passion for merging advanced algorithmic methods and experimental control systems. I work on projects that bring together machine learning, control theory, and real-world applications.
- I have an active academic profile and contribute to both open-source software and scientific research.
- My Google Scholar / ResearchGate profiles further detail my publications, citations and collaborations.
- Development of advanced control algorithms for biomedical systems: focusing on precision, stability and adaptivity.
- Implementation of machine-learning-driven modules in embedded systems and robotics.
- Open-source tools: I share code, notebooks and experiments across domains from deep learning and UAV vision to web applications.
- Programming Languages: JavaScript, Typescript, Python, C, C++, Java
- Machine Learning & Neural Networks: TensorFlow, PyTorch, NeuralProphet, Darts, Transformers, Scikit-learn, Numpy, Pandas
- Web Development:
- Frontend: React, NextJS, Svelte, SvelteKit, HTML5, TailwindCSS, Bootstrap
- Backend: Django, FastAPI, NodeJS, ExpressJS, Spring Boot, Firebase, REST API
- Robotics: Robot Operating System - ROS, Arduino UNO, Raspberry Pi
- Software: ArcGIS Pro, AutoCAD, MATLAB, SPSS, Adobe Illustrator & Photoshop
Feel free to reach out via email. I’m open to collaborations, code contributions, research discussions, and new project ideas.



