Adam Khan

I am a self-taught developer and researcher who discovered a deep passion for programming through my Final Year Project, which focused on understanding the effects of water trapped in nanoscale graphene and CNT channels. This work involved studying channel modifications using reducing and activating agents to observe changes in flow characteristics. The project required extensive knowledge of computational and data sciences, which pushed me to explore programming and computer science at a deeper level. The resulting research paper was published in a journal with an impact factor of 22, marking a major milestone in my career.

Following this, I joined a biomaterials research center, where I contributed to both internal and external research projects. One of my most significant achievements was developing a 3D bioprinter with a print accuracy of 150 nm (step size) and a cloud-based remote system for automatic job initiation, data storage, print-job control, and live monitoring. This printer was developed for the National Center for Physics (NCP) in Pakistan. During my tenure at the Bioengineering Research & Development Pvt. Ltd., I also published three research papers on topics such as corrosion in bone implants, high-speed 3D bioprinting for skin tissue grafts, and ceramic-based bioinks printed using complex gyroid structures with controlled porosity.

Alongside my research work, I transitioned into freelance web development, creating websites and landing pages for clients on Fiverr, Upwork, and through a local software house. Over the past three years, I have worked as a full-stack web developer with hands-on experience in JavaScript and multiple JS- and Python-based web technologies. I am currently employed at an American startup, Hill Country Coders, where I work on next-generation CRMs and data-analysis projects.

My primary focus lies in leveraging computational technologies such as Artificial Intelligence (AI) and Density Functional Theory (DFT) to tackle complex challenges in materials science. I am proficient in advanced tools including Materials Studio, ANSYS, PyTorch, MATLAB, and VASP, which I use to solve intricate problems in materials design and analysis. Additionally, I have experience in materials synthesis and a wide range of characterization techniques.

I am passionate about research and continuously seek to expand my knowledge across multiple disciplines. I strongly believe in the power of interdisciplinary approaches to drive innovation and create sustainable solutions. My goal is to integrate software, cloud technologies, and data-centric methodologies to address pressing industrial and manufacturing challenges.