An AI / LLM researcher at College of Idaho, who conducts independent researches on integrating Large Language Models with microcontrollers, neural network based databases, Arduino automation systems, alongside star spectroscopy. An individual with a solid foundation in computer science and physics, and impassioned with applying technology to solve complex problems and create innovative solutions. Specially, a researcher who worked on projects that require industry level problem solving abilities and programming capabilities for more than 3 years, with fine tuned experience on DSA and Formal Automata fundamentals across Python, C++, Scala, SQL, Javascript, React and Node.JS. Furthermore, an IT Technician with 400+ repairs just in 2 years, across all types of devices running multiple operating systems, while facilitating the college network architectures.
Duration: 5 months. I conduct research studies with Dr. Rosoff in Mathematics Department at College of Idaho, experimenting 6 LLMs, and have optimized accurate response rate by 85% and GUI interaction efficiency by 45%.
Duration: 7 months. I have developed and implemented cutting-edge systems that gives abilities of remote telescope control with full automation from anywhere on the planet via WiFi connectivity, which enhanced spectroscopic analysis productivity by 43%. Collaborating closely with astrophysicists and astronomers, I tailored automation functionalities to meet specific research requirements and conducted rigorous testing which increased reliability and accuracy in various atmospherically conditions by 38%.
Duration: 7 months, I use data obtained at College of Idaho and New Mexico observatories to investigate intriguing stellar systems, then using SkyX and Integrated Software for Imagers and Spectrometers to conduct data analysis, and write Python algorithms to analyze stellar spectra, which decreased execution time by 60%.
Duration: 2 yrs 6 months. Experienced in repairing laptop and desktop computers (Windows, Linux, Ubuntu, MacOS), and mobile devices (Android, iOS) , troubleshooting and fixing varieties of technical issues fellow student bring to IT department. (400+ repaired devices)