Research Focus
Graph neural network MLIPs for CVD/PVD thin-film growth, DFT and NEB simulations of growth pathways, ab initio molecular dynamics, and foundation MLIP workflows for molecular and materials properties.
Academic CV
Postdoctoral researcher in Chemical Engineering at the Indian Institute of Science, working on machine-learned interatomic potentials, density functional theory, molecular dynamics, and scientific software for materials design.
Profile
Current CV PDF dated May 3, 2026.
Graph neural network MLIPs for CVD/PVD thin-film growth, DFT and NEB simulations of growth pathways, ab initio molecular dynamics, and foundation MLIP workflows for molecular and materials properties.
Scientific tools that connect method development with practical use: TURBOMOLE implementations, PyFock, MLIP Playground, CrysX tools, RIPER-Tools, Cube Suite, and web demos for computational chemistry.
Experience
Research appointments, software work, teaching support, and outreach platforms.
Developing GNN-based MLIPs for thin-film deposition and materials design; running DFT, NEB, AIMD, and MD simulations; building MLIP Playground; supporting teaching in reaction engineering and machine learning courses.
Implemented DFT-based embedding, wavefunction-theory coupling, and real-time TDDFT features in TURBOMOLE's RIPER module using Fortran and Python; supported physics teaching and computational labs.
Physics and computational science tutorials across YouTube and Instagram with more than 21k followers and millions of cumulative views.
Science, programming, and computational chemistry blog with more than 30k monthly views and academic citations to technical posts.
Education
Physics education with specialization in nanoscience, electronic structure, and computational methods.
Summa cum laude. Thesis: Density Functional Theory Based Embedding for Molecular and Periodic Systems.
Sri Venkateswara College. Specialized in nanoscience, ranked third in the program, and completed DFT-based research leading to publications.
Acharya Narendra Dev College. Ranked second with 87.08 percent and received the DC Arora scholarship.
Code development
Projects, codes and tools.
DFT-based embedding, WFT coupling, and real-time TDDFT in RIPER.
Pure-Python DFT code with molecular integrals and XC term implementations.
No-code web app for running and comparing 60+ universal MLIPs.
Neural network library with parallelization and GPU support.
Molecule and crystal viewer available for Android, Windows, Mac, and Linux.
Android app for augmented-reality visualization of molecular and crystal structures.
Android crystallographic tools including XRD simulation and CIF utilities.
Input generation for TURBOMOLE RIPER workflows from structural databases and files.
Processing and manipulation of CUBE files from quantum chemistry programs.
Online demo of frozen-density and projection-based embedding.
Chemical file format inter-conversion web app.
Basis set conversion among common quantum chemistry formats.
Android suite of mathematical tools for science and engineering students.
CrysX-NN demo trained to classify microstructures from images.
PyTorch CNN app for user-drawn digit classification.
Recognition
Selected awards, article recognitions, scholarships, and outreach milestones.
Awarded for a talk at the IISc Chemical Engineering Symposium 2026, IISc, India.
The Advanced Optical Materials paper on high harmonic generation in molecular thin films was among the journal's most viewed articles published between January 1 and December 31, 2023.
Highest distinction for the PhD dissertation at Friedrich Schiller University Jena.
Awarded support to present research at the TURBOMOLE 2024 Conference at the University of Oxford, UK.
Phys Whiz reached more than 20k subscribers and 3.6M views through tutorials on computational materials science, physics, and scientific computing.
Awarded support to present a talk at the ETSF 2022 Conference.
Awarded for a talk at the E-MRS Fall 2021 Meeting.
The CrysX paper was among the top 10 percent of most downloaded Journal of Applied Crystallography papers published between January 2018 and December 2019.
Received the DC Arora Scholarship as a meritorious B.Sc. Physics student, ranked second in the Physics department during B.Sc. Physics, and ranked third during M.Sc. Physics at the University of Delhi.
Talks and workshops
Conference presentations, posters, seminars, invited lectures, and workshops.
Skills
Methods, programming languages, packages, visualization tools, and communication strengths.
Profiles
Research, code, tutorials, and public writing.