I am a graduate (B.Tech and M.Tech) from IIT Delhi, embarking on my doctoral studies at Purdue University. My Master's thesis focused on 'Data Mining Assisted Machine Learning Frameworks to Evaluate Catalytic Reaction Systems', where I leveraged modern ML algorithms to perform generalised predictions, various kinds of sensitivity analyses and develop models capable to predict new catalysts. With diverse experiences working as associate in research labs and as a process engineer in industry, I have developed a keen interest in Process Systems Engineering encompassing the areas related to process control, optimisation under uncertainty, inverse modelling, discrete and global optimisation, aspects related to supply chain for planning and scheduling and in general using modern strategies for nonlinear stochastic problems.