About Me
I am a results driven Bioengineering Scientist specialised in Computational Biology and data driven Drug Discovery, backed by a B.Tech in Bioengineering and Biotechnology CGPA[removed]My core technical strength is in executing and analysing Molecular Dynamics MD simulations using tools like AMBER, LAMMPS, and GROMACS. I have successfully applied MD in high impact projects, including investigating the molecular origins of Nanobubble Mobility and Stability at the University of Calgary, Canada utilizing AI guided mutagenesis and MD to engineer cold active proteases at IIT Hyderabad, India and performing simulations for my published research on amino acid self aggregation. I complement this deep modelling background with strong proficiency in
Python, R, Machine Learning/Deep Learning, and LLMs for large scale bioinformatics and predictive data analysis, alongside practical lab skills PCR, HPLC, Cell Culture and research experience in genetic transformation and biochemical analysis.
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