Hi, I'm a Software Engineer & AI Researcher

Engineer at the Intersection of AI, Hardware & Software

I'm an Electrical and Electronics Engineering graduate with over 4 years of professional software engineering experience, currently pivoting toward graduate research. My core interest lies in combined hardware-software integration with AI — building intelligent systems that span from embedded microcontrollers and IoT sensors all the way up to machine learning models and full-stack applications.

My background is genuinely interdisciplinary. I have designed and built embedded IoT systems using Arduino, ESP8266, and sensor arrays, written firmware in C/C++, and simultaneously shipped production-grade backend APIs and frontend applications with Python, Django, React, and Next.js. I have also built LLM-integrated applications using LangChain and RAG pipelines, giving me practical exposure to both the hardware layer and the AI application layer.

I am currently a Research Member at the Gamification Lab, Kristiania University (Norway), working with Professor Ole Goethe on research methodology, literature review, and interdisciplinary research combining interactive systems and applied technology. I devote two full days per week to this unpaid role because I am deeply committed to developing genuine research skills before applying for graduate programs.

One area I find particularly compelling is robotics — not as a separate discipline, but as the natural endpoint of everything I care about. A robot is the place where AI perception, software intelligence, and physical hardware all have to work together at once. My embedded systems background gives me intuition for how sensors and actuators behave; my software and LLM experience gives me tools to reason about what a system should do next; and the gap between those two layers is exactly the research problem I want to work on. Whether it is robot manipulation guided by language models, autonomous navigation in unstructured environments, or sensor-rich systems that adapt their behaviour in real time — I want to build things that move, sense, and think.

I am applying for Spring 2027 as a prospective integrated MS–PhD student, and I am actively seeking Research Assistant positions with professors working on AI-driven robotics, autonomous systems, cyber-physical systems, multimodal AI, or intelligent IoT. My goal is to contribute to research that meaningfully connects physical hardware with intelligent software.

One thing I can say with complete honesty: I read and learn every single day without exception. Whether it is a research paper on robot learning, a chapter from a machine learning textbook, documentation for a new framework, or an article on embedded systems design — I am always consuming something. I do not treat learning as a task that ends when a course finishes. It is just how I am wired. That consistency, more than any credential, is what I believe makes me genuinely ready for a research environment.