As a biotechnology researcher, my core focus and passion lie in early-stage drug discovery. My technical background spans fragment-based lead discovery, crystallographic model building, and biophysics (SPR/GCI/nanoDSF), currently applied to AI-driven initiatives like the OpenBind project. I am highly motivated by the bio-entrepreneurial challenge of making the drug discovery pipeline more efficient. By developing Python-based workflow automations to handle complex structural data, my goal is to build scalable platforms that accelerate the hit-to-lead process, ultimately bridging the gap between bench research and commercially viable therapeutic startups.