Greetings! My name is Kam and I am a highly skillful computationalist working as a systems engineer for Boeing Intelligence & Analytics (BI&A). With a strong mathematical foundation, my expertise lies at the intersection of numerical techniques and automation. Both my bachelor's and master's degrees are in physics; with my undergraduate studies being from UC Santa Barbara and my graduate work from CSU Long Beach, where I focused on theoretical biophysics under Professor Klotz Specializing in computational polymer physics, my research involved developing sophisticated simulations using Brownian dynamics to study polymer chain behavior and molecular dynamics.
My technical toolkit includes advanced proficiency in Python, Linux, Ruby, and \(\LaTeX\), complemented by experience with Fortran, C++, and Julia. I am particularly passionate about data analysis, scientific computing, and complex systems simulation. Often times when tackling such problems, I must learn to use a tool that is new to me, something which I find both enjoyable and seamless.
As for my applied mathematical and computational knowledge: For starters, I have already touched upon the matter of numerical techniques. Throughout both my graduate research and professional experience, I have developed a strong arsenal of techniques to estimated mathematical processes; including some of the more well-known practices, such as: Runge–Kutta methods, the Euler-method, Monte Carlo methods, curve fitting, three-point curve approximation, numerical integration of stochastic differential equations, etc.
In addition to the aformentioned techniques, I also utilize large language models to teach myself new abilites and concepts. I have used AI-powered coding assistants to build dynamic websites and write countless scripts for automation. I mainly use Claude 3.5 Sonnet (whether through its own deployment or its integration in Replit); that being said, I use GPT as well.
Moreover, I am particularly efficient went it comes to automating day-to-day tasks. It is something that I started during the beginning of my graduate studies in order to make my unvarying routines more convenient, and as time has gone by, I have developed a strong interest in it. Although these are just two of the nowadays countless tools, I do personally find it simple to use either Bash or Python for such automation (in spite of the fact that there are many times where other tools such as Ruby also come in handy to me). What is more is that at my current job, I have systematically automated plenty of mundane tasks, to the extend that my coworkers use my scripts and request me to write little programs for them helping with their respective workflow automations.
Currently at BI&A, I am assigned to work on Ground-based Midcourse Defense (GMD) system, where I combine my physics background with software development to analyze simulations of the system. Primarily, my task is to maitain and develop the program which unpacks simulated data and then uses that data to generate a comprehensive report through predominantly data frames (spreadsheets). Another instance of one of my previous tasks at BI&A has been to, analytically or numerically, derive positional bound equations and calculate the coordinates of simulated objects based on outputted time and Cartesian coordinates at each time point.