Rajorshi Das

I am an AI-ML driven drug discovery scientist with 3.5 years of DMPK experience, skilled in machine learning, deep learning, QSAR/QSPR, molecular docking, MDS and ADMET profiling. I combine hands-on DMPK laboratory capabilities (LCMS troubleshooting, RFMS assays, in vitro ADME) with computational tools like Python, PyTorch, TensorFlow and RDKit to accelerate small-molecule evaluation and predictive modeling.

My DMPK expertise include ADME assays (logD, Microsomal & Hepatocyte stability, protein binding, Caco-2, PAMPA, MDCK-2, DDI etc), Bioanalysis using LCMS & RFMS, Developmental studies for High throughput screening, troubleshooting, Data analysis, In-Vitro biology.

I have a strong record of data delivery and problem-solving—recognized with a spot award—and academic excellence (high CGPAs, GPAT AIR-69, NIPERJEE AIR-286). I seek to apply my cross-disciplinary skills to build predictive models and robust workflows that improve candidate selection and speed early drug discovery decisions.